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Paper Citation Record · LEDGER

TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.10501.

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

pith.paper-citation-record.v1
2503.10501 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:10:48.606851Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:16:15.601342Z

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 7498beaa-71fc-4113-8280-c9aa8c69579d · inbound

Lag-Relative Sparse Attention In Long Context Training cites this paper.

Lag-Relative Sparse Attention In Long Context Training TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T04:10:48.606851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:10:48.606851Z digest=sha256:fdcb40ad80894c2572bb6e487dc0525952f1221f3af1cf4ec193aa532565c3e6

Observation 25ab6505-c8e4-47db-a642-54512efc2065 · inbound

OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models cites this paper.

OmniZip: Audio-Guided Dynamic Token Compression for Fast Omnimodal Large Language Models TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:50:15.052479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-17T20:45:37.418493Z digest=sha256:d283f050bf932bf4e30290f99f021bd5b2dac4231eceeeac40e3abcfb48daf91

Observation 422fd897-39a2-45c6-b90b-6c39a3d0f062 · inbound

ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention cites this paper.

ViCA: Efficient Multimodal LLMs with Vision-Only Cross-Attention TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T03:36:43.848589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:36:43.848589Z digest=sha256:ac3ea3d869ff99a9bcc5b625cd02c8f371341c4cc76bc40d589d3254b24c88ca

Observation 989474e8-b56d-4783-82f1-5a2c5cb5ac92 · inbound

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models cites this paper.

Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:26:27.066331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T18:25:21.621268Z digest=sha256:1a0c3e73ca8638139031316ca0ae4796e9adbd733e4d13a565a78d4d3eef982d

Observation 718c3c65-f48e-41d3-9823-54f62f526fec · inbound

Keep What Audio Cannot Say: Context-Preserving Token Pruning for Omni-LLMs cites this paper.

Keep What Audio Cannot Say: Context-Preserving Token Pruning for Omni-LLMs TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:02:06.367035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T02:00:02.786195Z digest=sha256:3b341861b9d8869f92fdef5327580858364945a85dc24be444a2920cf860d7da

Observation 7f00e115-4438-4071-b76d-4c45a430d2cb · inbound

OmniRefine: Alignment-Aware Cooperative Compression for Efficient Omnimodal Large Language Models cites this paper.

OmniRefine: Alignment-Aware Cooperative Compression for Efficient Omnimodal Large Language Models TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:16.276908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T04:52:03.076788Z digest=sha256:c030d1f9cb3eefbd65986055da0b689dfcf3d069d00361a39823b5038c738d90

Observation c360f9db-3d74-4bb3-a52f-fc6ee8ec1a64 · inbound

Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning cites this paper.

Spectral-Progressive Thought Flow for Lightweight Multimodal Reasoning TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:16:15.603223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T15:40:05.730181Z digest=sha256:8dcd5141acbbcf4788c41a2c1326c2b450ef53f7c5192344dd4da03b09afcce4

Observation a960c0f9-9a7e-4151-b118-a531c6b751dd · inbound

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference cites this paper.

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-04T01:29:53.890559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:29:53.890559Z digest=sha256:bc9984277a9a42d916bcdeb67aa04ea21160c023089eddc1b607c54ada993cae

Observation 213257e8-4322-43df-a30b-e9c4541550d0 · inbound

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference cites this paper.

Beyond Accuracy: Auditing Spatial Provenance in Visual Token Pruning for OCR-Critical MLLM Inference TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-05T04:26:51.502461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T04:26:51.502461Z digest=sha256:bc070dcb110702ae8dd1815ccd87c1722deff742f4608a0a9a8ceced70034b84

Observation 98885e3e-5829-4942-9e14-7b991be14341 · inbound

OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models cites this paper.

OmniPack: Unified Token Compression for Efficient Omni-modal Large Language Models TokenCarve: Information-Preserving Visual Token Compression in Multimodal Large Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T12:00:10.862282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:00:10.862282Z digest=sha256:3eea71224e7d5e39784022956fba014735db633b4705b0b208a0cec458def1d1