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Paper Citation Record · LEDGER

Lossless Compression for LLM Tensor Incremental Snapshots

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 2 inbound Pith citation observations for arXiv:2505.09810.

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

pith.paper-citation-record.v1
2505.09810 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:28:02.608611Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T20:16:16.466375Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T20:18:13.331054Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy4
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c53359b-9943-4aba-a20b-4ef8c7a2d8e0 · outbound

This paper cites Efficient Decoding of Prefix Codes.

Lossless Compression for LLM Tensor Incremental Snapshots Efficient Decoding of Prefix Codes

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:28:03.120179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e91e9822-d149-4c6a-ae99-968adfa24b14 · outbound

This paper cites an unresolved cited work.

Lossless Compression for LLM Tensor Incremental Snapshots Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-15T21:28:03.107060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:28:02.543793Z digest=sha256:86785a6294d96c13574ad28a2f4bd60c03ec4044c125d9d998f487de6ffbf1c2

Observation 5e0c0561-01d6-437b-8b6b-883da932a694 · outbound

This paper cites Peter Deutsch.

Lossless Compression for LLM Tensor Incremental Snapshots Peter Deutsch

Reference 3

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unresolved
no resolver link, observed 2026-08-15T21:28:02.547603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.547603Z digest=sha256:dee034e9b440739d9841e5854702e37822b2d5b2ad151dcf579e79bddc2f92c2

Observation 35bf08b6-0d5e-4ab6-aed2-e9443bcf1672 · outbound

This paper cites Lessons Learned from the Analysis of System Failures at Petascale: The Case of Blue Waters.

Lossless Compression for LLM Tensor Incremental Snapshots Lessons Learned from the Analysis of System Failures at Petascale: The Case of Blue Waters

Reference 4

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verified exact
doi, observed 2026-08-15T21:28:02.654065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:28:02.551664Z digest=sha256:c91a09f2e8f9766608e37e7a56dc731ef40efe9a501f2b4c9ef4e7029f20a313

Observation bb0de92d-319c-4c3c-8d32-024986e1fb74 · outbound

This paper cites Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms.

Lossless Compression for LLM Tensor Incremental Snapshots Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:28:03.093837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:28:02.556259Z digest=sha256:8c265c413f2abbbbcd9e0ef3e2772a0a78afb0eceedd41c3534e0324bcb40d25

Observation 4bd19245-148d-4f9a-b550-5bbeb3dfe379 · outbound

This paper cites Failures in large scale systems: long-term measurement, analysis, and implications.

Lossless Compression for LLM Tensor Incremental Snapshots Failures in large scale systems: long-term measurement, analysis, and implications

Reference 6

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unresolved
no resolver link, observed 2026-08-15T21:28:02.560433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.560433Z digest=sha256:73af30c2c0469c247b2d302886e6ac1e948d0c6ec1e1c46449208308bc1d6438

Observation 87ca069d-cebd-4307-8eb8-1fa056f14073 · outbound

This paper cites Development of a Lossless Data Compression Algorithm for Multichannel Environmental Monitoring Systems.

Lossless Compression for LLM Tensor Incremental Snapshots Development of a Lossless Data Compression Algorithm for Multichannel Environmental Monitoring Systems

Reference 7

Resolution
malformed identifier
doi_truncated, observed 2026-08-15T21:28:02.977801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:28:02.564743Z digest=sha256:b754d16ad5071bebd1dd075cdbf992a2a511cf0a55db4b04a55ea9a430c01133

Observation 12be063b-11f9-4a9e-a5c5-90054e9d6bf2 · outbound

This paper cites Bfloat16 Processing for Neural Networks.

Lossless Compression for LLM Tensor Incremental Snapshots Bfloat16 Processing for Neural Networks

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:28:02.568424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.568424Z digest=sha256:522b2cb49161f9bca9f8fc7c99179dcbddba6f9640c3bbf57bee54a7de89c849

Observation edaea76d-d374-4f12-b6ca-495e907eb16c · outbound

This paper cites Language Models are Few-Shot Learners.

Lossless Compression for LLM Tensor Incremental Snapshots Language Models are Few-Shot Learners

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:02.572130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.572130Z digest=sha256:ac716955b75a9a287c3642c97daf0187e1cef6e457db087c17957e300c0eacf7

Observation efec317f-e165-4882-88be-70a475f5b614 · outbound

This paper cites CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery.

Lossless Compression for LLM Tensor Incremental Snapshots CPR: Understanding and Improving Failure Tolerant Training for Deep Learning Recommendation with Partial Recovery

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:02.575882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.575882Z digest=sha256:4153f00d3638f73eac5788a97b51a5a4912acc90e00a08e96c7ac2b0e29566ea

Observation b48a83eb-70ad-4680-8764-75cb583c9a78 · outbound

This paper cites CheckFreq: Frequent, Fine-Grained DNN Checkpointing.

Lossless Compression for LLM Tensor Incremental Snapshots CheckFreq: Frequent, Fine-Grained DNN Checkpointing

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:28:03.080426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:28:02.579925Z digest=sha256:3e7834ba685f4838e5f8f90a54e3a4e918322afe4305c2d54acdfc2e1626e045

Observation 08b287bb-8316-46b8-aa60-2fba7de77ad7 · outbound

This paper cites The MultiBERTs: BERT Reproductions for Robustness Analysis.

Lossless Compression for LLM Tensor Incremental Snapshots The MultiBERTs: BERT Reproductions for Robustness Analysis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:02.583382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.583382Z digest=sha256:9b287af066d1b8c9589c3aa0d55546f3919127cd71480b275e2cfc3f2ec0eeda

Observation 6fe92119-caeb-4262-b039-5163b27a66e9 · outbound

This paper cites Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models.

Lossless Compression for LLM Tensor Incremental Snapshots Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:28:03.067794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T21:28:02.587377Z digest=sha256:7c5a97e6ace561116703e44d9b2420fde19491434ddadb3416925eab3bfbe292

Observation 8e693bd4-686b-48d3-a605-27a25b010faf · outbound

This paper cites Time Series Compression Survey.

Lossless Compression for LLM Tensor Incremental Snapshots Time Series Compression Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:02.590631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.590631Z digest=sha256:0b800ff88703bc4f7748e1ac18e970a0ab14e340b146e9bcc0977d10269eff56

Observation 240d7538-4a86-4b38-95e3-dbb34412972e · outbound

This paper cites GEMINI: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints.

Lossless Compression for LLM Tensor Incremental Snapshots GEMINI: Fast Failure Recovery in Distributed Training with In-Memory Checkpoints

Reference 15

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unresolved
no resolver link, observed 2026-08-15T21:28:02.594011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.594011Z digest=sha256:9166616fa274acd8ef28b8f262f783fc2ca2fed6b31db832fb46204fcf21131c

Observation edd59a78-2237-44ef-bf43-ae3bf0aabdfb · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

Lossless Compression for LLM Tensor Incremental Snapshots BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 16

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unresolved
no resolver link, observed 2026-08-15T21:28:02.597366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.597366Z digest=sha256:f4e2caeac564daee146ffa9b3396fb53a6016e7cab7a96520c4c52868184a9e6

Observation d4feffb2-3cc1-4c96-a634-1f135c0fab26 · outbound

This paper cites FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data.

Lossless Compression for LLM Tensor Incremental Snapshots FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T21:28:02.601205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.601205Z digest=sha256:92226af3f7ad8c371cbb0fa62668162c7a56e736fc03c04e70af423b6f3eae43

Observation a90c7b12-ad66-442e-9279-120d0c445b71 · outbound

This paper cites Lossless and Near-Lossless Compression for Foundation Models.

Lossless Compression for LLM Tensor Incremental Snapshots Lossless and Near-Lossless Compression for Foundation Models

Reference 18

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unresolved
no resolver link, observed 2026-08-15T21:28:02.604797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.604797Z digest=sha256:29165836b351e8ae79ceb89dac814b0c143d61b021ce4203b1547f307214dc93

Observation 72c8e21a-0a02-434b-96a6-b9034af4c588 · outbound

This paper cites A Comprehensive Survey of Compression Algorithms for Language Models.

Lossless Compression for LLM Tensor Incremental Snapshots A Comprehensive Survey of Compression Algorithms for Language Models

Reference 19

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unresolved
no resolver link, observed 2026-08-15T21:28:02.608611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:28:02.608611Z digest=sha256:7aaa204be80cb85bf1597627b3551906f17862d92c62b3643213892a66342795

Pith citing papers

Observation b4430b74-9414-4963-9993-1fa4c30847d7 · inbound

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving cites this paper.

FluxMoE: Decoupling Expert Residency for High-Performance MoE Serving Lossless Compression for LLM Tensor Incremental Snapshots

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:13.333908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-13T20:16:16.466375Z digest=sha256:730959f22e78aeb6e8def5d6565582688c03a46aa44095fa222b6b261d21c32f

Observation 61e9bca2-a7b1-43b8-aff1-7105c49690c4 · inbound

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training cites this paper.

ZipCCL: Efficient Lossless Data Compression of Communication Collectives for Accelerating LLM Training Lossless Compression for LLM Tensor Incremental Snapshots

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:30.620231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-07T05:22:35.487173Z digest=sha256:205b5643964e0176302441561f32fed1241bee0747d40691be428cd5c8533310