Paper Citation Record · LEDGER

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

As of 9 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 2026-08-08T06:32:00.761636+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.

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 2026-08-08T06:32:00.761636+00:00.

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.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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 2026-08-08T06:32:00.761636+00:00.

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.

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.

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.