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Paper Citation Record · LEDGER

Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2301.11796.

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

pith.paper-citation-record.v1
2301.11796 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:53.580062Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 18572b9f-4bbe-4a09-9d84-5064ab7cb765 · inbound

AntLM: Bridging Causal and Masked Language Models cites this paper.

AntLM: Bridging Causal and Masked Language Models Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T22:40:35.280916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:40:35.280916Z digest=sha256:9d4884deaa43eade860f822a9a5e12f245350a81d8f14c50c572d9ca4a1a3589

Observation 78226ba2-210d-4061-9217-5374472983b3 · inbound

Position: The Most Expensive Part of an LLM should be its Training Data cites this paper.

Position: The Most Expensive Part of an LLM should be its Training Data Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T12:34:53.580062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T12:34:53.580062Z digest=sha256:90ba1af1f0e0a9574626a667b8b833fcccd3e40ad6ac13e3817e94ff8fc3cb3d

Observation 08308dcd-dfbd-46f0-9853-da31175175f5 · inbound

Model Connectomes: A Generational Approach to Data-Efficient Language Models cites this paper.

Model Connectomes: A Generational Approach to Data-Efficient Language Models Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T05:38:36.585620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:38:36.585620Z digest=sha256:d28e3509430ad073fb0c7e5a32fb9992f9cd6e27df8b82fd737f0cce14491914

Observation 1cba198f-6a62-4df4-808e-bce871f461e9 · inbound

Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models cites this paper.

Towards Developmentally Plausible Rewards: Communicative Success as a Learning Signal for Interactive Language Models Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T22:56:21.278086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T22:56:21.278086Z digest=sha256:c4e49211be2220355d5f1e61a177b01bf8ac0cdc53295dfd4efd2d7775010413

Observation b1b1cf3e-8978-4a1a-8e87-74e43644fec1 · inbound

Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility cites this paper.

Spontaneous Speech Variables for Evaluating LLMs Cognitive Plausibility Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T15:07:33.974129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:07:33.974129Z digest=sha256:46ce70746dc36f4c217741698f7d835ef948c309e224d11b17f4541593857dc8

Observation f8da1641-6a77-454b-aac9-12f4085ff38a · inbound

Basic Reading Distillation cites this paper.

Basic Reading Distillation Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T14:10:04.621340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:10:04.621340Z digest=sha256:765d85a36a067c61e5683c2ab4f4a46d8773d401aa7c1a2084a5886f7d2b2352

Observation 071b6908-1925-49bf-b58e-757b99b7b746 · inbound

Representing Speech Through Autoregressive Prediction of Cochlear Tokens cites this paper.

Representing Speech Through Autoregressive Prediction of Cochlear Tokens Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T19:54:58.720381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:54:58.720381Z digest=sha256:f53e5158cc2cd953efb81d96f3ee9cdfd8226d0168dd90f2843c595afe24f46c

Observation b2977d9e-a5dd-40b1-ab40-e6e58e192a4e · inbound

Influence-driven Curriculum Learning for Pre-training on Limited Data cites this paper.

Influence-driven Curriculum Learning for Pre-training on Limited Data Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T17:56:36.804521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T17:56:36.804521Z digest=sha256:483ff393cbb0b4809a508dc110a6687299431512aa412331e9c3d83c451dc254

Observation 8bad3829-2efc-4a34-a3a2-1709ada5f073 · inbound

Masked Diffusion Language Models with Frequency-Informed Training cites this paper.

Masked Diffusion Language Models with Frequency-Informed Training Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T05:46:29.867768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:46:29.867768Z digest=sha256:8a50516a42fd18228cd2ff48b9ba85d9ad4d510e963411bcce271aafa84b15ca

Observation 566049f8-ad18-402d-9ee8-80d05db7000d · inbound

Zero-shot World Models Are Developmentally Efficient Learners cites this paper.

Zero-shot World Models Are Developmentally Efficient Learners Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T10:16:08.371936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:33:39.342672Z digest=sha256:a0f61d6ce083f8df5f01bdf07026af3611ada717aa742a2abc5c8f726a22ec52

Observation 51a06959-712b-43b9-a368-4763a1413a51 · inbound

Readers make targeted regressions to plausible errors in reanalysis of "noisy-channel garden-path" sentences cites this paper.

Readers make targeted regressions to plausible errors in reanalysis of "noisy-channel garden-path" sentences Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 93

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:53:12.993983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-20T10:49:11.048566Z digest=sha256:490f19e651b2498f462550d8e4ef1c182213fe02d9586e8583feb5318f2ea153

Observation 8010b421-eb0c-4ca7-bae6-d64394b8a4e5 · inbound

LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?") cites this paper.

LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?") Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T07:46:46.437667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T06:39:08.246174Z digest=sha256:189020e298632c5a333b54dad95a34fe5d44335864e1a588edc5367b7756b2cb

Observation 70db7c6e-9c26-4610-89ce-0c4d0d854a3e · inbound

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure cites this paper.

LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Call for Papers -- The BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-14T04:32:13.110232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:32:13.110232Z digest=sha256:598a9b3a0136fc44c77a118a83f9647bd1535530055c34725dae786000672ab0