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Paper Citation Record · LEDGER

Chunk-Distilled Language Modeling

As of 13 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.00343.

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

pith.paper-citation-record.v1
2501.00343 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:01:15.326463Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved5
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eaf464c3-8994-47e6-95d6-788410098547 · outbound

This paper cites The PPLs can also guide the con- struction of CD-LM such as the datastore and retrieval modeling variations, to better fit the data of interest.

Chunk-Distilled Language Modeling The PPLs can also guide the con- struction of CD-LM such as the datastore and retrieval modeling variations, to better fit the data of interest

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.663165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.265023Z digest=sha256:7dd90be1d7c773f2a0af2ee3ae1d98a1aa298a930fc7b01a85b60e6ff3532029

Observation 73f7f389-b7cc-4073-8ccc-141cb7041ffd · outbound

This paper cites an unresolved cited work.

Chunk-Distilled Language Modeling Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:15.623010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.276612Z digest=sha256:4ff69d8902734d97ecbdda8c489d4e743cf5513ddb3903528f26bdb46e2ef606

Observation e05e933f-aaab-4b01-9acf-10d7eafaed15 · outbound

This paper cites 20 For simplicity, we assume each token probability of LM is 0.3: Plm(A) =Plm(B|A) =.

Chunk-Distilled Language Modeling 20 For simplicity, we assume each token probability of LM is 0.3: Plm(A) =Plm(B|A) =

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.597345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.281852Z digest=sha256:2d1b93a2d86ce84c9be249b5625ea28f51b751660057449bf24ad8eadb3de88e

Observation 1b7c9647-4aad-45f9-8eab-c7e412fd70f5 · outbound

This paper cites an unresolved cited work.

Chunk-Distilled Language Modeling Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:15.640986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.271391Z digest=sha256:f662e86561f20ca0cba16db432f9dff7b53e109553d60b9dfc3b2150c4d48825

Observation 8498e5af-510d-4956-b828-047efa2bfed9 · outbound

This paper cites an unresolved cited work.

Chunk-Distilled Language Modeling Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:01:15.579888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.287306Z digest=sha256:d46e994db5fd70d91db358873527155c6829a27473e016268c194981c1a8e177

Observation 71314e90-4b10-449b-9f33-ad4829f6d0ad · outbound

This paper cites This is because the first 64 tokens of a chunk do not have enough preceding text to provide adequate context.

Chunk-Distilled Language Modeling This is because the first 64 tokens of a chunk do not have enough preceding text to provide adequate context

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.562812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.293459Z digest=sha256:67b3dc8a40acdac362fdaa378ebba511d5394ed9386aa8f29bf49abba06b4b31

Observation 38b0d002-2a18-4ec1-8bbb-d794648f4397 · outbound

This paper cites The parametrization ϕ is none.

Chunk-Distilled Language Modeling The parametrization ϕ is none

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.541995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.298842Z digest=sha256:2ae92169d20d8c7eec6df4691e269bac30e793451f0fda3c37920d58f3cad6c5

Observation b81ae753-b99c-4937-8a7e-b61f69143713 · outbound

This paper cites Iron Man.

Chunk-Distilled Language Modeling Iron Man

Reference 14

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T23:01:15.517659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.303913Z digest=sha256:7c22d7f50aa73548f5f12f5ad038ad3ead049cbb04a29053a9172284830c66cc

Observation d40eaddc-e20c-4dc2-87b4-29798035f705 · outbound

This paper cites This theoretical model provided mathematicians and philosophers with a framework for study- ing the fundamental limits of computation.

Chunk-Distilled Language Modeling This theoretical model provided mathematicians and philosophers with a framework for study- ing the fundamental limits of computation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.494799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.310752Z digest=sha256:1205038a807a563ce2e2d9f1f1113fe54d1d9665442c91005db5120a8ed17990

Observation a1912741-b30c-4b8a-973b-de5073d93730 · outbound

This paper cites His ideas on computation and algorithms have laid the foundations for our understanding of these concepts.

Chunk-Distilled Language Modeling His ideas on computation and algorithms have laid the foundations for our understanding of these concepts

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.477811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.316939Z digest=sha256:fa7860cb26597a996aa3bdf23f798c75b9ec07b90b316b03215d00a176df4fc6

Observation 12767657-9fb1-4dbc-98d8-6e6ec7d716eb · outbound

This paper cites It showed that all computable functions can be computed by a single abstract machine when configured with specific tape symbols and rules.

Chunk-Distilled Language Modeling It showed that all computable functions can be computed by a single abstract machine when configured with specific tape symbols and rules

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.458902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.321723Z digest=sha256:e04d9750c11aad94fcf800c2cd08171f4fc2273ecd3fd2291e0d708eb84bd695

Observation cfc6ebf6-d08a-48a8-8063-c66220f88357 · outbound

This paper cites Code Contributor.

Chunk-Distilled Language Modeling Code Contributor

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.440588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.326463Z digest=sha256:af8b864de1ad52648a202670ed419f6453fca08feb5097189b68402f2c730010

Observation b835338c-434f-44af-9d83-d9b586a5d3ea · outbound

This paper cites Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, and Pengfei Liu.

Chunk-Distilled Language Modeling Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, and Pengfei Liu

Reference 218

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:01:15.682717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T23:01:15.229365Z digest=sha256:41b50f9ffe33962be6e8dbe3ca127f3a21e9f19d188ff9d861d810c4d55254ac

Observation 1b9d6fef-e6e6-4e39-a2c3-a5e2b5719c51 · outbound

This paper cites Learning to Decode Collaboratively with Multiple Language Models.

Chunk-Distilled Language Modeling Learning to Decode Collaboratively with Multiple Language Models

Reference 704

Resolution
unresolved
no resolver link, observed 2026-08-10T23:01:15.253229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:01:15.253229Z digest=sha256:5cddbd818dc01a4bb4a3746f45f3d3ae0b55c398d57069adedf9d36ebc7d4841

Observation 58808ff0-88c8-4bf2-85fe-c9d40a0b1239 · outbound

This paper cites Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.

Chunk-Distilled Language Modeling Nearest Neighbor Speculative Decoding for LLM Generation and Attribution

Reference 2020

Resolution
malformed identifier
no resolver link, observed 2026-08-10T23:01:15.241306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:01:15.241306Z digest=sha256:e5f63af57a2ab19995112608a5b85cad78531279fcfd6e0c21a50e84e4411f0e

Observation 6c29ce74-7637-4256-a4ee-41ec5c809253 · outbound

This paper cites URL https://aclanthology.org/2021.tacl-1.

Chunk-Distilled Language Modeling URL https://aclanthology.org/2021.tacl-1

Reference 2021

Resolution
malformed identifier
no resolver link, observed 2026-08-10T23:01:15.259079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:01:15.259079Z digest=sha256:86da7e28b9e402a84cbd625a8c49d9d884b035398b88a3383382f3abfef8d1a3

Observation dfc847e6-0cec-4d95-b00e-3d4a852972df · outbound

This paper cites doi: 10.18653/v1/2024.naacl-long.365.

Chunk-Distilled Language Modeling doi: 10.18653/v1/2024.naacl-long.365

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-10T23:01:15.234843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:01:15.234843Z digest=sha256:c9db5dee469f069b64ecd361ed10948f97ae7656b475f7b417ca67d413ca6de4

Pith citing papers

No inbound Pith citation observations are available.