๐งช The Lab
How we test the machine that reads the stories
- 76experiments so far
- 20in use on the site
- 29answered
- 2running
Our motif index is built by language models running on our own computer, with a person checking their work. Every change to how the models file and find stories is tried here first, on the person's own decisions, with its hypothesis written down before it runs, and kept only if it helps. Each experiment is named after a figure from folklore. The misses are here too: an idea that didn't work is a finding. The numbers are the experiments' own shorthand; the methods log tells the story of each change in plain words.
๐ญ in use on the site 20 โ answered 29 โณ running 2 ๐ being run again 1 ๐ waiting on a decision 2 ๐คท unproven either way 3 ๐๏ธ tried, not kept 12 ๐ not run yet 1 ๐ planned 6
E ยท the shortlist: finding a claim's motifs
๐ญ in use on the site E0.2
Sisyphus
An off-the-shelf reranker
๐ฌ AUC 0.887 with the likenesses and Gemma
๐ญ in use on the site E0.5
the Bremen Town Musicians
Many finders, weighted on the person's filings
๐ฌ the learned shortlist
๐ญ in use on the site E0.6
Athena
The confidence model on every signal
๐ฌ AUC 0.885; the fit on filings
๐ญ in use on the site E1
Lethe
Subtract the day's news from claims and notes
๐ฌ kept
๐ญ in use on the site E11
Babel
Every embedding model
๐ฌ Qwen3-Embedding 8B with Snowflake Arctic 2: top-12 82.3% to 85.2%
๐ญ in use on the site E6
Ariadne
Which order to check in
๐ฌ least certain first
๐ญ in use on the site E7
Matryoshka
The layered finder
๐ฌ kept
๐ญ in use on the site E9
Pygmalion
The reranker taught the person's taste
๐ฌ in use
โ answered E12
Jack
Seed motifs in the shortlist (from A1)
๐ฌ not buried: a quirk of the weights lifts motifs with no claims
โ answered E13
Anansi
A fuller telling for finding a claim's motifs (from A1)
๐ฌ claim and telling together: right motif in the top 12 68% to 73% (top 8 63% to 69%)
๐คท unproven either way E5
Arachne
Spread scores over rests-on and related links
๐ฌ promising, unproven
๐๏ธ tried, not kept E0.1
the Oracle
Gemma's own yes or no
๐ฌ AUC 0.818 but overconfident; replaced by Nimble (J1)
๐๏ธ tried, not kept E2
Morpheus
Imagined instances of each motif
๐ฌ nothing
๐๏ธ tried, not kept E3
the Pleiades
Motifs travel in bundles
๐ฌ 82.9% against 82.3%
๐๏ธ tried, not kept E4
the Three Wise Men
A jury of readers
๐ฌ nothing
๐๏ธ tried, not kept E8
Narcissus
The pick prompt showing a motif's nearest claims
๐ฌ no difference
J ยท the judge: does this claim fit this motif?
๐ญ in use on the site J1
the Norns
A jury of models for the judge
๐ฌ Nimble 9B judges as well as Gemma 26B, faster; second sitting (Oct 17): pplx-decider +0.010, 7x slower, Nimble kept
๐ญ in use on the site J2
Solomon
The judge as the casebook reasons
๐ฌ the element won: AUC 0.54 to 0.79
F ยท filing: fewer corrections for the person
๐ญ in use on the site F10
Pandora
Pandora: the tellings inside the person's biggest motifs (a dry run)
๐ฌ all 36 motifs split into 227 tellings; 5 judged (all yes); blind set unjudged
๐ญ in use on the site F11
the Danaids
How much the confidence model's leak flatters it
๐ฌ the leak was real and small (about 0.01 AUC); fixed Oct 14
๐ญ in use on the site F16
the Magic Mirror
The taught reranker against the untaught, at each teaching and forward
๐ฌ no better: untaught 0.776 vs taught 0.758 held out, 0.738 vs 0.739 forward; teaching keeps the winner
๐ญ in use on the site F17
Castor and Pollux
The checker's suggestions from the learned shortlist, as filing
๐ฌ the person's hand-added motif among the 12 candidates 62.9% to 68.4% (+3.0 to +9.0); 4.7 of 12 change
๐ญ in use on the site F18
Cordelia
The Brothers Grimm's winning wording in every claim prompt, measured forward
๐ฌ Oct 21: posts 20.7 to 15.9 words; fact-checks not shorter; rewording fall confounded
๐ญ in use on the site F3
Ma'at
A fixed yardstick: 200 held-out decisions, weighed weekly
๐ฌ weekly; Oct 18: first set AUC 0.915, the torn set 0.809
โ answered F1
the Gordian Knot
Splitting motifs where they hold two tellings: Atropos's word cut on motifs
๐ฌ no: words can't see it (odd one out 11% against chance 14%; cut AUC 0.67)
โ answered F14
Tyche
Bootstrap intervals in the harness; the Oct 8-10 gains read again
๐ฌ Babel clears the noise (+2.9, +1.7 to +4.2); Matryoshka did on Oct 8 but adds 0.2 now; the Pleiades inside the fold-split noise
โ answered F15
Thumbelina
Recall by motif size, and the alike floor
๐ฌ a leak: one-claim motifs found 100% held out; without it top 12 86.7% to 72.7% (84.8% on motifs of 2+); two-claim motifs 68%; the floor costs 0.7%
โ answered F19
Theseus
A telling as its course of action, no topic (SemEval 2026 Task 4's recipe), beside Aesop
๐ฌ no: alone 38% at top 12; summed with plain, -5 points
โ answered F2
Cerberus
The motifs the machine missed: was your "also" in the shortlist?
๐ฌ half: the motif added in the top 12 50%, top 40 72% (the one chosen 56%, 86%; plain weights)
โ answered F21
Charybdis
Straight news as a sink: offered beside the wrong motifs, is it picked where nothing fits?
๐ฌ no: offered, it changes wrong picks on nothing-fit claims by +0.9 points (needed -10); takes half of plain reports
โ answered F23
Ptah
The note first, then the name: new motifs named after their scope note is written
๐ฌ no clear gain: names +0.008 likeness, near matches +3.4 points, but 7 points more abstract labels; blind pairs pending
โ answered F24
Baron Munchausen
A telling, not a report: a report-or-telling signal and bulk passes counted for less, in the confidence model
๐ฌ not kept: report signals moved nothing (AUC within 0.002); the gate, blind on Oct 19-20, caught 24% (40% asked)
โ answered F25
Indra's Net
Each motif mirrored in 20 versions (other casts, settings, voices) for the shortlist to catch claims by
๐ฌ not kept: top-12 +0.3 (87.5% to 87.8%); folktales +1.9; versions point right (66%) but say what the note says
โ answered F26
Tiresias
The point a teller makes (what they mean, not why), written by Gemma from the claim and from its sources, as shortlist signals
๐ฌ not kept: top-12 +0.3% with sources (interval from -0.0%), +0.0% bare; moves +0.5%; 9 of 159 hard misses back
โ answered F27
Ali Baba
The tellers' own words: each motif's phrases by weighted log-odds over its tellings, names out, as shortlist signals
๐ฌ not kept: top-12 +0.1% (interval from -0.3%), moves -0.3%; the phrases are mostly the topic in single words
โ answered F4
Aesop
A telling abstracted as the proverb it is an instance of
๐ฌ no: alone 20% at top 12 against plain 71%; summed with plain, -17 points
โ answered F5
Loki
A telling abstracted as the same story told about three other subjects
๐ฌ no: alone 41% at top 12; summed with plain, -6 points
โ answered F6
Hermagoras
A telling abstracted as its rhetoric: stasis, driver, time shape, speech act
๐ฌ yes: same-motif pairs share a speech act +18 points, a stasis +13; carved claims stand out; next: as confidence features
โ answered F7
Procrustes
Can the machine tell when nothing fits, and propose instead of forcing?
๐ฌ best shortlist fit spots nothing-fit at AUC 0.84; a line near 0.7 catches half, 9% of fits
โ answered F8
the Chimera
Are claims from posts several tellings stitched into one?
๐ฌ yes, nearly all: ~4 claims a group, 3+ motif and one-motif groups alike; motifs on different sub-claims 46 of 59
โ answered F9
Isis
Single posts filed on their own, then grouped by motif
๐ฌ single posts reach 79.5% of the person's motifs, 74.5% land in them; layered beat stitched 75 to 3
โณ running F12
Prometheus
The shortlist forward: what each new claim is shown, against the final word
๐ฌ weekly; 1st week: 56% shown, 19% existed unshown, 25% made later
โณ running F13
Persephone
Seeds let into the shortlist
๐ฌ weekly; 1st week: a seed shown for 55% of real claims, picked for 2%; 1 of 5 kept so far
๐ being run again F28
the Judgement of Paris
Which model picks the motifs from the shortlist: Gemma 26B against Clef, Clef Flash and Nimble v3
๐ฌ the three are decision models (no completion), so they cannot pick; Gemma alone: found 53.6%, wrong 33.7%
๐๏ธ tried, not kept F20
the Blind Men and the Elephant
The claim writer shown the group's most varied posts, not ten at random
๐ฌ varied ten no better than random (65% about each); split covers 79% but 3.6 claims
๐๏ธ tried, not kept F22
Psyche
The claim organizer alongside the filing: a claim split where its motifs fall on different posts
๐ฌ splits about a quarter whatever the filing (28% vs 25%); its proposals never reached the person
A ยท archives: our method on outside material
โ answered A1
Scheherazade
Our pipeline on 1,518 ATU-labelled folktales
๐ฌ right type in the shortlist ~9 in 10, picked 4 in 5, judge AUC 0.93-0.95
โ answered A2
Rip Van Winkle
The 1896 newspapers: does filing hold up off-distribution; controls
๐ฌ 96% filed, 40% sure; 24 new motifs (5% of filings); conspiracy controls read as class conflict; spot-check pending
โ answered A3
Echo
Viral Texts: do reprints of one piece file alike?
๐ฌ copies of one piece file alike: Jaccard 0.32 within against 0.03 between; a shared motif in 59%
๐ planned A4
Cassandra
Greek and Roman speeches (Catilinarians the control)
๐ planned A5
Fama
Early modern news: Delpher 1618-99, Lancaster newsbooks
๐ planned A6
Argus
LOCO: conspiracy against matched mainstream documents, a control
๐ planned A7
Nestor
The Congressional Record 1873-2011: motifs over 140 years
๐ planned A8
the Sphinx
The Q drops: do their shapes meet 1896's?
๐ planned A9
Rashomon
ClaimsKG: does one claim file alike across fact-checkers?
S ยท stories and sagas
โ answered S1
Janus
A new event or the same one updated?
๐ฌ Gemma agrees 78%, Nimble 60%
โ answered S3
Rumpelstiltskin
What makes headlines one story: TF-IDF, embeddings or hybrids
๐ฌ precision at equal coverage: TF-IDF 0.25-0.64, mxbai 0.88, hybrids 0.92-0.95; recall sample too small (3)
โ answered S4
Atropos
Seams in stories: embeddings, then TF-IDF cuts
๐ฌ cuts scoring under 0.6 right 18 of 18, 0.6-0.7 69%, over 0.8 rarely
โ answered S5
Sinbad
A long story split at each new development, replayed over every story of 36 hours or more
๐ฌ not as asked: 54% of long stories split, 10.6% into 5+ parts; caught 4 of 5 known developments but missed the Fort Hood cancellation; blind verdicts pending
๐ not run yet S2
Penelope
Re-sorting a saga's headlines into parts
๐ฌ three dry runs: k-means plus merging lumps or splits wrongly
U ยท the machine alone, without a person
โ answered U1
the Golem
The machine alone: our filing from an empty index
๐ฌ it lumps: 63 motifs for 600 claims where you have 465; B-cubed precision 0.19, recall 0.53
โ answered U1b
the Sorcerer's Apprentice
Golem II: the Golem's broad motifs split by Gemma into the tellings inside
๐ฌ 63 motifs became 225; B-cubed precision 0.19 to 0.54, recall 0.53 to 0.44
P ยท proposing and naming motifs
๐ญ in use on the site P1
Puck
Nimble scoring the proposals
๐ฌ ranking AUC 0.772 against 0.755
๐ญ in use on the site P2
Adam
The Oct 10 praxis: the judge's question and the naming rules
๐ฌ naming rules live Oct 10
๐ waiting on a decision P2b
Nobody
The naming rules without a leading "The"
๐ฌ house style kept
D ยท ideas from the research
โ answered D1
Cinderella
Does the judge read the must-have element?
๐ฌ yes: AUC 0.821 with its own element, 0.64-0.65 with another motif's
๐ waiting on a decision D4
Proteus
Tell-Tale Hat: which motifs overlap or drift
๐ฌ 22 candidate pairs, 6 drifting motifs
๐คท unproven either way D2
Bluebeard
Show the judge the person's past removals?
๐ฌ AUC 0.796 to 0.809, within the noise
๐๏ธ tried, not kept D3
the Hydra
Simulated annotators: does agreement say when to trust the judge?
๐ฌ no: the confidence model stays at AUC 0.885
๐๏ธ tried, not kept D5
Punch and Judy
Tangherlini's actants as signals
๐ฌ strong alone (AUC 0.899) but the embeddings already carry it
R ยท the reranker
๐๏ธ tried, not kept R1
Goliath
A bigger reranker (4B)
๐ฌ not worth it
C ยท a cascade of models
๐๏ธ tried, not kept C1
Goldilocks
Small models first, Gemma only when unsure
๐ฌ Gemma alone picks with the fewest wrong
M ยท one model for another
๐ญ in use on the site M1
the Changeling
Gemma 26B or Qwen3 30B for the match question
๐ฌ Gemma; the 30B retired
W ยท wording claims
๐คท unproven either way W1
the Brothers Grimm
Writing claims with rules from the person's corrections
๐ฌ Gemma closer than Qwen; rules unproven
G ยท genre and group descriptions
๐ญ in use on the site G1
Mother Goose
Genre descriptions from the praxis
๐ฌ genre calls right 53% to 64-67%
๐๏ธ tried, not kept G2
Noah
Group descriptions for the drafter
๐ฌ no help