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Paper Citation Record · LEDGER

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language

As of 14 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.04523.

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

pith.paper-citation-record.v1
2607.04523 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T18:02:35.816485Z

measured 46 of 46 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

46 of 46 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved44
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b0396f6d-212a-4df1-bdff-14977fc0b1ce · outbound

This paper cites Bambi: A simple interface for fitting.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Bambi: A simple interface for fitting

Reference 1

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Observation e21556d9-d218-4191-9c6e-55467f754891 · outbound

This paper cites and Gelman, S.A.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language and Gelman, S.A

Reference 2

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doi, observed 2026-07-11T18:08:10.734421Z

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=2026-07-11T18:02:35.816485Z digest=sha256:271f2c3dff39124ce1199a1aa4dadd39d7425787676971101a876be693766fa6

Observation 4ecdea6d-9c24-4dc1-94b1-00c954478893 · outbound

This paper cites The Physical Basis of Conceptual Representation -.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language The Physical Basis of Conceptual Representation -

Reference 3

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arxiv_id, observed 2026-07-11T18:08:10.740950Z

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.

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Observation 6e62ffcb-62db-4365-a627-e86bc1fda875 · outbound

This paper cites Visual Cognition , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Visual Cognition , pages=

Reference 4

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:a90dae77b6c906eabdb95c16d6e83281bb50e3744094d21e3241bea76f9af94f

Observation 0ed291f7-0088-4e08-8d74-59a89a2d2c05 · outbound

This paper cites Reading Research Quarterly , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Reading Research Quarterly , pages=

Reference 5

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Observation a24513c2-6866-45bc-b7d4-46f11bb6df53 · outbound

This paper cites Nature , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Nature , volume=

Reference 6

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:373704fbd3b1dec810feedfe76d228608f2cefa8244eea1af5c6f7ec0c87b9ef

Observation 57961261-0c9b-49e2-9729-0eb8f6ef1977 · outbound

This paper cites Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

Reference 7

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Observation b3718c26-aa47-4192-9823-8f94c699051c · outbound

This paper cites Behavior Research Methods , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Behavior Research Methods , pages=

Reference 8

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:032205656e611013c35a136d6df9bd48f76635b0ff098edc8e036bfe4b18a583

Observation f3db2bff-f9f7-4e7d-b4b6-f926b34f869a · outbound

This paper cites Enriching Word Vectors with Subword Information.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Enriching Word Vectors with Subword Information

Reference 9

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:7802a07dff07544faa638b458138332f66c9760ada6971767ce3cfe7f4764164

Observation e4daf4e6-7dae-4d62-8b4a-808325b253cc · outbound

This paper cites 2018 , journal=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 2018 , journal=

Reference 10

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:5b1ef2021b5697dcab803c0a281bd665ca21672bac26db3b539f75cb941f097b

Observation 5a50c3e4-d682-4874-a4b0-8b3ab455c252 · outbound

This paper cites Psychological Science , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Psychological Science , volume=

Reference 11

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Observation 57859693-2781-4f04-880f-e0e4bd36c4a4 · outbound

This paper cites Visual Cognition , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Visual Cognition , volume=

Reference 12

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no resolver link, observed 2026-07-11T18:02:35.816485Z

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:de781da47e166d8563d73bdb986b6de1b1a35607735c20b8d7e5a38b44843759

Observation 5d18f3b8-0b86-4e2f-b464-b057533635bd · outbound

This paper cites Journal of Experimental Child Psychology , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Journal of Experimental Child Psychology , volume=

Reference 13

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Observation 76ed8900-e5cf-4620-a94e-e61668280125 · outbound

This paper cites 2019 , publisher=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 2019 , publisher=

Reference 14

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:103fe461388b5ac9be937ccf9def517302c5425d7de829b3ce78331904a6dd40

Observation 34d6f642-cf3d-44fe-9759-ed43d79cb575 · outbound

This paper cites 1690 , address=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 1690 , address=

Reference 15

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:9bf9555ca47f3b5908e0a9f849ac76f1e7e969262d982fb0e32c05169ad9ebda

Observation 10fb34c7-bd9c-4b42-beb7-42d56cf012db · outbound

This paper cites 1740 , address=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 1740 , address=

Reference 16

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:354b41c02d0959196293da791e4e7c769e52e1506dee3d1b49ad2f90bcba4bc1

Observation 841b7832-4222-42a2-90c7-d6692ff352e4 · outbound

This paper cites Behavior Research Methods , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Behavior Research Methods , volume=

Reference 17

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:e0be97f45edda302b4e56cf789adabf4888abec50545605abcd18843f199ef69

Observation daa6ceb7-cc1f-4da5-aebb-3a9aef0d4b56 · outbound

This paper cites an unresolved cited work.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:e47985da4191f99f6c5b5b4cc3a1902a98106b3f1f5e6b05684795a0db5c64b0

Observation cc240000-2bb7-49bc-ac1c-6684d8c66dce · outbound

This paper cites Cognition , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Cognition , volume=

Reference 19

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:048be63e894649f302e5b03581e0cc8f11bc79d4462507783d04023087c0027d

Observation 2c591125-f8cf-4b2a-8b3b-d6e5ff660801 · outbound

This paper cites Cognition , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Cognition , volume=

Reference 20

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no resolver link, observed 2026-07-11T18:02:35.816485Z

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:fab8ce2bce282b37d596a68f37658563ffb2434939369ec3afbe0cba386f1dc5

Observation 16eb896e-b46d-420d-85fa-aa87e456d1b2 · outbound

This paper cites 2012 , month = aug, journal =.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 2012 , month = aug, journal =

Reference 21

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:e27c91d228cbb9a97b1ce15eeeb213b64293218c48b7e7b79b8f90978dc79c8a

Observation 80a9d907-3ea5-4487-9850-167234e6a8c7 · outbound

This paper cites Mechanisms for Thinking about Kinds, Instances of Kinds, and Kinds of Kinds , booktitle =.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Mechanisms for Thinking about Kinds, Instances of Kinds, and Kinds of Kinds , booktitle =

Reference 22

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:29c3cef3af3023511350cc9086b4d67fe1ed0e11bb514b3cd3c190129f9d9bbb

Observation de7e2f6e-935f-4a88-a197-0eaf685335ff · outbound

This paper cites Cognition , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Cognition , volume=

Reference 23

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no resolver link, observed 2026-07-11T18:02:35.816485Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:a05c8a8ae43ceeae325faeac6c95be009f6e81ac9d330808a904ea67170a66ae

Observation ec6cebb4-fdf8-46ca-a78d-397717b1b447 · outbound

This paper cites International Conference on Learning Representations , year=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language International Conference on Learning Representations , year=

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:3b0e52f7073bc658c94d2cf7f0cdf53cb44e64ceaba470c24b823be67cd9c635

Observation 09929b22-6fbe-4a03-936e-3921b8ffcd96 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 25

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:75b8e0d64298e010e1cb999ca34ec0ee036e25f41ea2a4d5c734a0bd35966e0d

Observation a5c60e5b-ab0d-4fef-91f8-be5da0b77e11 · outbound

This paper cites Advances in neural information processing systems , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Advances in neural information processing systems , volume=

Reference 26

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:eef0a44720ba95ad0ef1ba8d942345a395915938279289dd84a3881f6eec1228

Observation 52fefb5b-9afa-423b-b5b0-398437c48f75 · outbound

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

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:5c0a9192433b2b682942c0f8bbf96c5ce9cb3aadc1edb0a2ce311cbcc980811c

Observation e9b4b608-2a69-4621-a97a-24a926d0a2e7 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 28

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Observation 0b0c1ce6-8bc2-4fd7-b336-490a8c219194 · outbound

This paper cites OpenAI blog , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language OpenAI blog , volume=

Reference 29

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:a3480b7ae04c3193346004a797ac2eef81c4db67031079bce3a6d498d2732dc0

Observation 3209b554-2065-4773-8ad2-f8441f904685 · outbound

This paper cites 2018 , journal=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 2018 , journal=

Reference 30

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no resolver link, observed 2026-07-11T18:02:35.816485Z

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:ababfbe0203bffac3c09b32e5764889d1c631351df8d5b280f46a6d4eb999a30

Observation b8ca6f0a-25b2-4bf1-98e3-36c1bf4768f6 · outbound

This paper cites 2022 , url =.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 2022 , url =

Reference 31

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:a20e0654aee294960f9d2a6e51348438206c1938481ecae4a1a79f945321b0e0

Observation 6bb33844-909b-447d-b6de-a6e1b8075f6c · outbound

This paper cites Fitting Linear Mixed-Effects Models Using.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Fitting Linear Mixed-Effects Models Using

Reference 32

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:edfe113aa0bfc167e1294ef0fb10df92758cb408d86a5dcc3a9cd0537f49a069

Observation d1bc7e40-a44b-4496-81a5-72643eba72fd · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Efficient Estimation of Word Representations in Vector Space

Reference 33

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:0d9bf1ebcd3a4f9174e19b1181f7dfc43b8dfa39db79dbac7184efff779c3677

Observation 3e4fc7ac-3c04-465b-bd04-d2af5b67879d · outbound

This paper cites Proceedings of the Annual Meeting of the Cognitive Science Society , volume=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Proceedings of the Annual Meeting of the Cognitive Science Society , volume=

Reference 34

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Observation acfe3415-2e7e-4aca-ae27-f0e6a640599d · outbound

This paper cites International Conference on Learning Representations , year=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language International Conference on Learning Representations , year=

Reference 35

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:3b118fa20ceb94f5a1799a20a697f08f7cc9280df9cc2a58ec10cd4169ebacdd

Observation 601af2bc-d007-4f0a-9520-b83d267b2481 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

Reference 36

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:708f2b5a4ceebb1fea7a28ee6623fd7718b0d19817d48bbd6d156d975b166319

Observation ec73c426-6f28-4426-aea7-a0cff2f8ac4e · outbound

This paper cites Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 37

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:12cdfa3234085eae668bb5fd8bc94dbf0552810154761ecb0635241cb16e9906

Observation eebca7dd-6a0d-4796-beb6-7d3f7a81d8d8 · outbound

This paper cites Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) , pages=

Reference 38

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source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:b676b4cce85a9257f3fbf4a3fa79a53a66446c5e9b86ff93623b04a78325b9be

Observation 5b1c4875-ac33-47e1-947c-66b69c7caccc · outbound

This paper cites International Conference on Learning Representations , year=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language International Conference on Learning Representations , year=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:b194b334311013e3f157429d31bef29ff4829fead9daf4c419d9e9e762b0c602

Observation 80056e84-9684-42ab-b7c6-36f48a49b19f · outbound

This paper cites Proceedings of the 29th International Conference on Computational Linguistics , pages=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Proceedings of the 29th International Conference on Computational Linguistics , pages=

Reference 40

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:b6e5582b8daa7886e1f64fb5b92ccdbf46d1b7b8d06d48c89fb1818d71e1dde0

Observation 6a214cb9-3cc7-4acc-a741-b2dcac7ead1f · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language The Eleventh International Conference on Learning Representations , year=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:b7735d0dd997dbde67dc11235c0f27039dfe88816db86a8b39f7475293e3bcbe

Observation 1de3f4bf-282c-49da-8553-d767c3b7dffb · outbound

This paper cites 7th Annual Conference on Robot Learning , year=.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language 7th Annual Conference on Robot Learning , year=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:73a1788d831b71bb90bedd92d5271504b5220b0d766eb5ee804ef88a336df355

Observation f8ac0cbf-a9c1-4a24-9063-11072ab95d61 · outbound

This paper cites Can Peanuts Fall in Love with Distributional Semantics?.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Can Peanuts Fall in Love with Distributional Semantics?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:37f8b841de77bdbcb328fbb22146bc308f315e541be3fc1e9191876f56097b39

Observation b3dbe0a8-306c-4144-8cb1-8f76ee3106ee · outbound

This paper cites an unresolved cited work.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:01dc1084b89cfef11f821eeac2b77ba1ed41f438a0d7e2a8dbc3cb07ff5b96c5

Observation f3aad832-def5-477d-9e2d-5ec9e60f5f9c · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language Fine-Tuning Language Models from Human Preferences

Reference 45

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:0be2dceb3005cca1d5ea05659356a85e199c877483874f3fda785ef997b6a1a2

Observation 021a27af-b519-47d6-a8e2-f79c14e7fa17 · outbound

This paper cites and Angeli, Gabor and Potts, Christopher and Manning, Christopher D.

Failures and Successes to Learn a Core Conceptual Distinction from the Statistics of Language and Angeli, Gabor and Potts, Christopher and Manning, Christopher D

Reference 46

Resolution
unresolved
no resolver link, observed 2026-07-11T18:02:35.816485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T18:02:35.816485Z digest=sha256:386ac625327fe76c2406c6b000e3842194fbe99a103644d7d13278e208a5fcbb

Pith citing papers

No inbound Pith citation observations are available.