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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:33.974129Z

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 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:ecbe03c2c2e7be031beb3c3f5f38bf6feb6efa0bd97034d8982e1ae150db74f7

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:d7c2367ff7951bd80fadd76f37b6d0511615b452980414cac4f44455735d807d

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=sha256:0a426e8a91028ce408e9ad9e3d62f27df1f982b283fb3a475466813b2a97cc8c

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=sha256:35bb4f6ecc89fc3047cca83905aad04ec3bfbf34b14bcb2bed1a20d6e0d89c10

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=sha256:0c76540d90457a99c646e4040de2579e33a16108a78cf949b2ea57e3623274fd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:33:39.342672Z digest=sha256:c8cb714ef695bced7f98c732b37d3c4dda1dd2c31c714fb9cdd17f3066479453

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T10:49:11.048566Z digest=sha256:85ac59218e246cf784aa4b81c594c0c046f8f7d618c7236a43d80107e4efc69a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T06:39:08.246174Z digest=sha256:45c2231dc8ce2e10de2b29027f275ba22fa29123152e178059f86d4fa4fd88e3