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Paper Citation Record · LEDGER

Hierarchical Latent Prediction for Language Models

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.05806.

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

pith.paper-citation-record.v1
2608.05806 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:13:07.376893Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

35 of 35 outbound references displayed

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  • verified fuzzy12
  • unresolved23
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68f644a1-c2ae-41a9-a6b1-9d9e7e845923 · outbound

This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.

Hierarchical Latent Prediction for Language Models Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 1

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Observation 0e833c34-ae07-4104-8abd-dd53b5333ed7 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Latent Prediction for Language Models Advances in Neural Information Processing Systems , volume=

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 103eb528-cd93-45ed-9cd6-5fc3bc773c7c · outbound

This paper cites Hierarchical Planning with Latent World Models.

Hierarchical Latent Prediction for Language Models Hierarchical Planning with Latent World Models

Reference 3

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Observation fed03d3a-e4b4-4ab7-9045-45abb57351e0 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology , year=.

Hierarchical Latent Prediction for Language Models ACM Transactions on Intelligent Systems and Technology , year=

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2d4fbf9d-5d3c-4981-ba9d-2d3796ccd64d · outbound

This paper cites arXiv preprint arXiv:2510.27688 , year=.

Hierarchical Latent Prediction for Language Models arXiv preprint arXiv:2510.27688 , year=

Reference 5

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Source-reported events for the cited work

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Observation 5f317a68-46fe-413c-92b8-c155fde52145 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Latent Prediction for Language Models Advances in Neural Information Processing Systems , volume=

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 671515bb-6b77-4879-af30-9a125e161d2b · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Hierarchical Latent Prediction for Language Models Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 18d42a9c-0e4c-44fd-aade-a9a5d2649be3 · outbound

This paper cites Dynamic Chunking for End-to-End Hierarchical Sequence Modeling.

Hierarchical Latent Prediction for Language Models Dynamic Chunking for End-to-End Hierarchical Sequence Modeling

Reference 8

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Observation d0a62782-a6f8-4b28-bb57-a60989555229 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Latent Prediction for Language Models Advances in Neural Information Processing Systems , volume=

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9a3321da-69b0-4d11-84ec-b2aaf30ee009 · outbound

This paper cites Efficient Joint Prediction of Multiple Future Tokens.

Hierarchical Latent Prediction for Language Models Efficient Joint Prediction of Multiple Future Tokens

Reference 10

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source=arxiv_source observed=2026-08-07T23:13:07.276744Z digest=sha256:c4456c11e49e5e5af3971ebb746150833f3ab4aa3bb54a064a603697a6723ed9

Observation abef9dd7-49ed-4618-92e1-8e8980398160 · outbound

This paper cites The pitfalls of next-token prediction.

Hierarchical Latent Prediction for Language Models The pitfalls of next-token prediction

Reference 11

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Observation 8b143dee-c6fb-4a43-8495-4429e5f38253 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Hierarchical Latent Prediction for Language Models Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 12

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no resolver link, observed 2026-08-07T23:13:07.286572Z

Source-reported events for the cited work

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Observation 591ecfb7-1305-4266-a729-8c1e5cc6e9e4 · outbound

This paper cites LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics.

Hierarchical Latent Prediction for Language Models LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics

Reference 13

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Observation 4c9acd79-ebf3-4c48-b6ad-f56980d21b19 · outbound

This paper cites Accelerating Large Language Model Decoding with Speculative Sampling.

Hierarchical Latent Prediction for Language Models Accelerating Large Language Model Decoding with Speculative Sampling

Reference 14

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Observation 80966676-20f9-444f-8096-4771764d0afc · outbound

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

Hierarchical Latent Prediction for Language Models Advances in neural information processing systems , volume=

Reference 15

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Source-reported events for the cited work

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Observation 32f63bb3-ad72-4d7e-8053-1932cfe33c62 · outbound

This paper cites an unresolved cited work.

Hierarchical Latent Prediction for Language Models Unresolved cited work

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3bdc694f-7091-4984-800c-20f01e742b59 · outbound

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

Hierarchical Latent Prediction for Language Models International Conference on Learning Representations , volume=

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 8752b076-d085-4cab-8bcc-23d3a6eb677e · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Hierarchical Latent Prediction for Language Models Advances in Neural Information Processing Systems , volume=

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3b42ccb8-3e58-4f5d-a890-d43a06764ad2 · outbound

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

Hierarchical Latent Prediction for Language Models International Conference on Learning Representations , volume=

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation df21e775-a526-4e79-bbdf-acb33dc50a46 · outbound

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

Hierarchical Latent Prediction for Language Models International Conference on Learning Representations , volume=

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fb623168-7e6e-4be0-8ad2-4856b2d4b8d6 · outbound

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Hierarchical Latent Prediction for Language Models 2, 2022-06-27 , author=

Reference 21

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Source-reported events for the cited work

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Observation 66695e23-7a30-4030-b5dd-3b7c8dfbb5b7 · outbound

This paper cites International Conference on Machine Learning , pages=.

Hierarchical Latent Prediction for Language Models International Conference on Machine Learning , pages=

Reference 22

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Observation 3cba0afd-1290-46a4-9b3d-c1bc321adf42 · outbound

This paper cites LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels.

Hierarchical Latent Prediction for Language Models LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels

Reference 23

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Observation ef35985b-176c-4a56-b317-2b9eef124a01 · outbound

This paper cites EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty.

Hierarchical Latent Prediction for Language Models EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Reference 24

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Observation 325500fa-df90-4281-95c6-4eb03be80362 · outbound

This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.

Hierarchical Latent Prediction for Language Models Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 25

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Observation 20034b65-7a0f-40f0-9c1d-dc0165b0c58a · outbound

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Hierarchical Latent Prediction for Language Models Advances in Neural Information Processing Systems , volume=

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 5d823ca4-e8e5-4495-9fee-756012588d38 · outbound

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Hierarchical Latent Prediction for Language Models arXiv preprint arXiv:2510.14751 , year=

Reference 27

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Observation fe6e40b3-25ba-434b-815b-4e402073984e · outbound

This paper cites Bridging State and History Representations: Understanding Self-Predictive RL.

Hierarchical Latent Prediction for Language Models Bridging State and History Representations: Understanding Self-Predictive RL

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8872bf01-6dc4-47be-b0eb-d52e80972265 · outbound

This paper cites Artificial intelligence , volume=.

Hierarchical Latent Prediction for Language Models Artificial intelligence , volume=

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bcf14b0e-8493-48dd-931a-8ad1d5a98a3b · outbound

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Hierarchical Latent Prediction for Language Models International Conference on Machine Learning , pages=

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation c35956f9-eed2-42cb-a15d-9bd7fe99f235 · outbound

This paper cites Next-Latent Prediction Transformers Learn Compact World Models.

Hierarchical Latent Prediction for Language Models Next-Latent Prediction Transformers Learn Compact World Models

Reference 31

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Observation 0e69e638-b95f-4485-8ba0-ecf2ce67fb39 · outbound

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Hierarchical Latent Prediction for Language Models doi:10.5281/zenodo.12608602 , url =

Reference 32

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Observation adf6b55e-2237-41e2-b838-ab6e7a0665cc · outbound

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Hierarchical Latent Prediction for Language Models 2025 , eprint=

Reference 33

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Observation 71f90e27-52ce-43d7-ba0e-ba7063ae2041 · outbound

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Hierarchical Latent Prediction for Language Models 2021 , eprint=

Reference 34

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Observation c5bbd805-66e5-4ac6-8ca3-4a302c33bd6f · outbound

This paper cites 2025 , eprint=.

Hierarchical Latent Prediction for Language Models 2025 , eprint=

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T23:13:07.742800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.