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Paper Citation Record · LEDGER

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.09587.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.09587 v2

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:32:50.803872Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact11
  • verified fuzzy2
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92f295a5-840a-49b3-8e8e-5917b2eefa15 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.358070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.494305Z digest=sha256:35d7f81c2f9b5d22b2f946388d276d3a4d3e7e46edd26608d7940c797031a141

Observation e9fe4b3d-3736-414c-9c4c-5c1c46577967 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.337480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.513365Z digest=sha256:9d4322a9dc8545304b77b3d636c9985ccda972a87d2f76d5c424bbc79851a3c4

Observation 7dc98d7d-fe7e-48d0-b777-2ae643ce9dbd · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 3

Resolution
verified exact
doi, observed 2026-08-12T20:32:51.082594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.519059Z digest=sha256:c5bac6e8a54791f1ac25ae76c053709886c22ec0f76817edfbdea8305d29c87e

Observation a48f1970-1f09-499a-b989-df78bdc6665a · outbound

This paper cites [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.530080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.530080Z digest=sha256:b80caa3974eaf43ca1cea91e8bcd343056e4152f8a701a0ef3e7a54409d52b76

Observation e6be68f8-e991-48c7-abdc-96e2fdad9af2 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.309863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.538416Z digest=sha256:3012fde040a843af14984f1e6ae939134687f98ab9fd1932a1b633ff84f2f5ab

Observation ab87c451-3a93-4ceb-9d51-a72f9607092a · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.546855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.546855Z digest=sha256:920afd07b3a50d74c79a654bcd53ccdf780af12fed218abc4a8cd89ea4d092d2

Observation 71899567-9c5d-4253-8448-2f0b8572815b · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 7

Resolution
verified exact
doi, observed 2026-08-12T20:32:51.043418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.556032Z digest=sha256:223201754a6326edd8c59fd1ea92493b8e212b9790502ef17a5d11eb4e47012a

Observation 20fee02a-5049-45e7-8a9b-41be2c1798b4 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 8

Resolution
verified exact
doi, observed 2026-08-12T20:32:51.022576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.563894Z digest=sha256:a8d4f85d197372f809b844d4f0eeea4d4980ccde29dae09e7aae426fbbf366c0

Observation 4a6a7c2d-8862-4500-a084-f241fb5d7176 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.292170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.569453Z digest=sha256:3471e296d25a88087e966570d0bddbcf79dc78ae95348b1945d4efbf984758bd

Observation b943c321-cab9-496b-8f6b-0d57b1e786e9 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.576506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.576506Z digest=sha256:1e9daf212a0d71b1fd35214480a05c09c73cb68022ddd3821b80f8b9992e139a

Observation 11b45d46-0ba8-4a30-bfe6-72861de90ebe · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.273752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.590391Z digest=sha256:8d3404c836094efd7b2556ea87a8c2c73ec0de293f50d2d7a924691b6e69c2ce

Observation 1b2cbc4e-d6cf-4525-8a80-d82ef51f7715 · outbound

This paper cites Huebner, Elior Sulem, Fisher Cynthia, and Dan Roth.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Huebner, Elior Sulem, Fisher Cynthia, and Dan Roth

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.596342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.596342Z digest=sha256:1e704c51a14224d6899c3e8be5fd2c471188caec807ee3b63ce7151681ec48b2

Observation 0ae69ed8-932e-4f41-8f4b-28a9e71e1ca4 · outbound

This paper cites Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Elements of World Knowledge (EWoK): A Cognition-Inspired Framework for Evaluating Basic World Knowledge in Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.606796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.606796Z digest=sha256:bee23b8b7394833aa88d27a9a55cf1001315a94858624d34edc450c54b924fcc

Observation e6cdb1d9-3cb7-401f-ba32-4ed14e39f922 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.251421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.615536Z digest=sha256:2416252bb659680e34d9fbda11d0fba74904ae4e7aaffb245fa9a3b82caa4535

Observation 18814467-827f-46c2-81b5-dabefae3678e · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.227511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.623690Z digest=sha256:e2114784ab8ae996785c487162f904076484c68a91b14b3981332d318379e982

Observation c629a53d-c496-44ab-abdb-1daa4dbb9587 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.205914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.630853Z digest=sha256:e54cee8a7a6bdf70343a9e0ab66e8bb23078bbf57a44d43e10d164290534cae0

Observation 36a7264b-8ae8-4f2e-80fd-fdc5a3589648 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 17

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-12T20:32:51.952777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.638723Z digest=sha256:64d925be9138d2806b8e9743bfc1e6715cb9be3eda26160eba45706da9b1e943

Observation 955ecbd1-7b55-4caf-a991-4ab446cb94ed · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 18

Resolution
verified exact
doi, observed 2026-08-12T20:32:50.977804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.646037Z digest=sha256:232ae5a7bf76f7a55acec394e1543a96fc22fb0645f987a54867f5e70d326419

Observation 82dfacb8-dbca-4371-9d6a-b10c5a5d78aa · outbound

This paper cites Küntay and Dan I.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Küntay and Dan I

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:32:52.186586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.654680Z digest=sha256:44efd539b288f18d81ca3979412080b2fe93f1c0edd5024e15846537035a2eaf

Observation c038513f-cf37-46b2-a689-8049410c65e9 · outbound

This paper cites Lester, Steven Moran, Aylin C.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Lester, Steven Moran, Aylin C

Reference 20

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-12T20:32:51.765132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.664155Z digest=sha256:73532aff8635c498d588f9079d5bccb6dddbf899faf4336241921ddcdf265fbc

Observation ecd05539-d6e5-4739-ab78-c137bc024a43 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.674191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.674191Z digest=sha256:5aa2a677b7013e07bb12a29939702588f17e52b8d4dc20ed28fb7fce298f0b9e

Observation e57d9cc7-6727-43a5-9202-a07b7528df8f · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.158899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.681183Z digest=sha256:9983e897f5d724eaf7cfd5f39d4d6644389317d40ca99017929aa994f60f17b6

Observation fc67de85-d4cb-4609-8892-d7698b03d863 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.687812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.687812Z digest=sha256:a03f46063d040424bf4e9aeb5bc50950055391e3dc933f4a419f6f5352c1c217

Observation d61e5723-d5ca-40d9-a380-392c7a0474dd · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.695131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.695131Z digest=sha256:388307daeb400a0c5e97d38208bcac9785ef14c0926c8323689912ad3fdcb329

Observation 4e903328-25d2-4b48-8d40-053029daa901 · outbound

This paper cites Waterfall, and Shimon Edelman.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Waterfall, and Shimon Edelman

Reference 25

Resolution
verified exact
doi, observed 2026-08-12T20:32:50.931080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.703105Z digest=sha256:124e9f6a492e269dbaf2721b845c83b1fc80900d44f8253612476e6aea7cd910

Observation 36a80dee-5880-4dea-a649-07b1d7e51e3f · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.134714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.709781Z digest=sha256:839b872828661a995a7965ff01c015c69c2e0c06dc18352f548ba8574c5748f5

Observation d3f2d636-e60f-4377-8da4-c0864e8cec4d · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.716795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.716795Z digest=sha256:ff0eeab388d778a2b45271d93eb822588572af6a5fb9706529be26317af33a93

Observation becb7cb4-64f5-4c88-8927-27ee2285c74c · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.096540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.723664Z digest=sha256:8f1167c77a5425fd34304a434673579729ae33d71709a9252d28d4f0e7cc7bdc

Observation dab62fc0-45a4-4fc8-ad55-aa141f95b046 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 29

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-12T20:32:51.534861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.733797Z digest=sha256:842cb9333e96c4818b2240f82774f1cad61c65e64854409cf3bd06dff1d9337f

Observation 9fb22e75-b648-485a-9123-2e9a0c2cb184 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-12T20:32:51.307010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.742151Z digest=sha256:cdd2acd52aa06d57a807780544dc33723bc08ce59a1e750b7158acba892ea9e7

Observation f63c3490-1b0f-4c68-abb6-2af3322eaa61 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.749206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.749206Z digest=sha256:dc0e334e98468d805bb496fe0514872710b5c66091bb7eff59dd9730392fc7c7

Observation c5010c0b-d63d-410a-b144-e1e3292d6ff7 · outbound

This paper cites What Artificial Neural Networks Can Tell Us About Human Language Acquisition.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency What Artificial Neural Networks Can Tell Us About Human Language Acquisition

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.755946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.755946Z digest=sha256:0761698afe8dc701b6dc54c46f0d8564b515cebc453bde9b8a81fcde5e801c25

Observation 86cbf233-0d17-45e7-86c2-cb4b0c9067c0 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.761700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.761700Z digest=sha256:2fc3d8ac5f5fbc88379ed5e4f0d215204c95d859f9acce8350cd6dd7ecfa0252

Observation aeee5a0e-4c85-482f-9586-4fea31dcf66d · outbound

This paper cites Waterfall.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Waterfall

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:32:52.071304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.767731Z digest=sha256:7a0b3c1f86caa764e1d27e6622cd3d147157e9bb43dad03344cd76c5aa3f6f37

Observation f6f8b2b6-f4b2-478a-a5b7-8e65d01c229d · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:32:52.050908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.775027Z digest=sha256:cf1be4cf1a74a9a59113168430e94164321dd8174fa3365cf84da5e89d110166

Observation 9bbbb9c5-857f-43d6-8a22-bcd2364bbb43 · outbound

This paper cites an unresolved cited work.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Unresolved cited work

Reference 36

Resolution
verified exact
doi, observed 2026-08-12T20:32:50.879150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.781761Z digest=sha256:498bf48616f2e6fc807fc96df634e9f3a9e6db42930a56d81e0fcc5b5c9a2ae9

Observation cba57baa-8fea-458a-b184-2307e1e54ad7 · outbound

This paper cites Daum, and Sabine Stoll.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency Daum, and Sabine Stoll

Reference 37

Resolution
verified exact
doi, observed 2026-08-12T20:32:50.859798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T20:32:50.789610Z digest=sha256:b8a6728cfade93de25375f48d192c374c120a67a03b6a44a533f2906b86af8cc

Observation 8fbe1cdd-d637-4730-893e-f4ad886b27f9 · outbound

This paper cites online" 'onlinestring :=.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency online" 'onlinestring :=

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.796069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.796069Z digest=sha256:9c42ca7ba38555afb638e618bcd8bcf7b35fce93c544e8cecab84e519207f4f0

Observation 65e5dc00-ef21-486c-a5bb-20d707c4a906 · outbound

This paper cites write newline.

BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency write newline

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T20:32:50.803872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:32:50.803872Z digest=sha256:59714c84231dad1889ab6ff5adeee77abe88c0a2833c6cf369e0af062b522ee1

Pith citing papers

No inbound Pith citation observations are available.