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Paper Citation Record · LEDGER

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

As of 15 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=sha256:01a51a3368b91ea56cef202e3ce2a64d652305364f49acf8a13626fd93febe42

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=sha256:8b8a6363102f04415f9f76ebbae136e11827ede492bbd82bc7e1c69e2c9a65ae

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:a25bc5f3f1429f6c3fd86578c6f8babcc0cedc41ef954049c95f77a5ef34c5ae

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=sha256:8f2f3de70dbcbde3250c60aecbcecbe88d7b88ad8a0a0df668811eebf2ac3a47

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=sha256:664ca0e92e391d0473bfdb369ba4f695d9de61d02fb5d9dd6909c0329bea299e

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:f2ccb69101356b4b07371670379cc778de4b5a552740d706d5c6465169b63443

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:c647adff0587c5429514e9600998451d50cd1fab6b4b18819715f29754c6eae9

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=sha256:1fb0bd2cd6a3c4671d3d940c00cd1b1902fd64175e8ef3723853e2e19ca9891f

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:eaf3ef86d537b41003c0620ac6c761724bfd3a1be71a6110b7120cc4f630c920

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:ce8afc7dfa029f1816930104b19aab81bc06bdec6479f843e6afc8cb0216b7e2

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:fbec4789258632b4ee0a68ad5fa50d0d006aac9eeed06a02e15d4fe21d631e18

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=sha256:6518ccb66db6e7bac108d907df4b08aa1bae80063191601da6dbc0e1730f3db5

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=sha256:39550c18a44bcfe5eec4622c0b21920adddbe629c6fbabfda8d56b3182a0e6e5

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=sha256:3d34bf5ce46a3c942b402543b9d84f75373f714fee670eaaef0f51d3951040a4

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=sha256:5d0e82c8bf2c7f0d1c7ce388976f7be03140af62bc4559cc2786b2492e6113f0

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=sha256:5bc03eff0733142c13eaffac160d7902874551b0538cab9c92c4c46f3983ba17

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=sha256:079d67952bcbc9a5bdd0fdf19719ef49ac56310305429f7cfa49d680bb2c4858

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:a8bca5369a269a23f92d4796c2cf8ab654bcbe90449df45411e914899b103b2f

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=sha256:510b53719bf6882930aca6b9e1286c6e5caa657f162da602c4880b3e283f9dcd

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=sha256:1ad87b70a2c7316585032b8be67e2c38ae72d779a7bfa7491893f99f2867d07f

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:b80195e632a6a077195ac9c3bb092f0bb4c4bf2a8fc2e37a067411c7ebe2c10c

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=sha256:155fb21c190f16bd9e23b246be685c4e26e8eb47548df483727b1fe31a99cd35

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=sha256:082f2e1807ded8d2bdd18600d359ed66952799a670960a357cf26e2793050909

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=sha256:1ae3f598e5407d836e6fa0081faba08924e552a8e4801041f881c0a2fed6460e

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=sha256:1b8a7e8249bc254b5c5fa72d6129f84e11e57c77e6e9a53470f92d9c10b20368

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:af72ed860c01e1e2fbd799fd9795ba94e261c66f17d300bd6afac4e804aa8671

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=sha256:0a182da2e3fb26e158f28bb7a59f9946246bfafc84e7faf7ff6bcec274ba1884

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=sha256:2d0395191772525d78d7d2b8cc79232f597c3c0fc27966aafbd4b03be70f7789

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=sha256:30704a40fbe8d1dc00c9cb94aeceebdb2810087f0a6da72da160f6b07c48246f

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:ef6eb34c59d54bf3e733f2c00bc17c7bd25d427513dbd628b281d8b5200aba87

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=sha256:4bf55eb2ea1ef73c9484a2392655be7fb0411a2986667538a08e8f31e219a0c0

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=sha256:39571189eef9a95798884fb290e5304a60089b1ad5803be92c0fc02caacd9c0f

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=sha256:9f095b6dae6a6d0c39035f9e1be8109c2cae67da290489c95bf7cdceb6c62e6e

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=sha256:72d2f85c3712389b1edae22c1ac2bf186f9e239ac9b1955acf34b6ed9efb8b22

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=sha256:9378f8ab89dc31951da3098eaf4f6d5309add4ffb933331015f1c47753d2a763

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=sha256:2aae2e7037904dd872020c377584b9ff50d614243597ca31f6eaec86624644f4

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=sha256:9f8c1a51d27d9fd0e87c5b1f4e42795112f09a8052d15f735765be41b5e68477

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=sha256:640c689c0bef0bcf948b959ba2912dd73dd8130bd3c646415024765650edbee9

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:d043c6b418623fd7c70448fa1cc452f3c679f1c467a7b632217bc52b2ee2fbc0

Pith citing papers

No inbound Pith citation observations are available.