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Paper Citation Record · LEDGER

ZipNN: Lossless Compression for AI Models

As of 3 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2411.05239.

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

pith.paper-citation-record.v1
2411.05239 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T00:58:28.798369Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 53e329a7-3820-418c-a5a1-f5ad01a6dc62 · inbound

TStore: Rethinking AI Model Hub with Tensor-Centric Compression cites this paper.

TStore: Rethinking AI Model Hub with Tensor-Centric Compression ZipNN: Lossless Compression for AI Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:21:27.062277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-10T06:16:58.389670Z digest=sha256:70e81017094877d360fd4caf8433b93e11698bb065db91f627c285ab6947fd85

Observation 5281f895-f1ea-496b-a411-3f946bf96b66 · inbound

TStore: Rethinking AI Model Hub with Tensor-Centric Compression cites this paper.

TStore: Rethinking AI Model Hub with Tensor-Centric Compression ZipNN: Lossless Compression for AI Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:04.719972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-14T22:04:16.100009Z digest=sha256:5d37e114d182765210773ea078d4890098b61488d10effaf6a4c1f0a76068108

Observation 9eb9c7d3-e90c-4a9f-83fa-e643b7be7891 · inbound

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization cites this paper.

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization ZipNN: Lossless Compression for AI Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-09T23:04:17.331133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T23:01:56.712670Z digest=sha256:d5d90f870ebf1d627eeb3d4050ac59511b4ad9135f0783a098511b4b66dec75a

Observation 76bc2c02-ea83-46ac-84f5-173aaa22f5d7 · 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 ZipNN: Lossless Compression for AI Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:36:30.646593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-07T05:22:35.487173Z digest=sha256:fe783e76f84a2f66c604d002227d2a83dd9ee5aa5ac27f5cb3b45455969b1339

Observation e2372ba1-6bd2-4ed6-88f5-b575af9c856a · inbound

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving cites this paper.

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving ZipNN: Lossless Compression for AI Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:26:08.847026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-09T16:59:58.809897Z digest=sha256:b0103e86ab52cecd3d77617bd41ba5865870594c5263128528bbe6e1a30707a5

Observation 5dbe353d-e02f-4547-8041-ddd5799f94a1 · inbound

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving cites this paper.

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving ZipNN: Lossless Compression for AI Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:21:23.701491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-12T01:15:06.859289Z digest=sha256:0764f242469dd4484346110ebb698ffafe8946648895bfe4631e2a20c2bbf0a6

Observation 56493c13-98b7-43f2-b44e-09ea8451816e · inbound

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving cites this paper.

SplitZip: Ultra Fast Lossless KV Compression for Disaggregated LLM Serving ZipNN: Lossless Compression for AI Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:15:45.317927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-07-01T00:58:28.798369Z digest=sha256:2f78c7550188e382417b5ce2ddf9d7d4f2cd5d0de292f071523b281042a79485