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Paper Citation Record · LEDGER

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.10542.

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

pith.paper-citation-record.v1
2409.10542 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:59.732942Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:01:16.113289Z

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 4623e4ae-0f1e-42c5-82b0-576452019351 · inbound

EdgeMM: Multi-Core CPU with Heterogeneous AI-Extension and Activation-aware Weight Pruning for Multimodal LLMs at Edge cites this paper.

EdgeMM: Multi-Core CPU with Heterogeneous AI-Extension and Activation-aware Weight Pruning for Multimodal LLMs at Edge SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:08:59.732942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:08:59.732942Z digest=sha256:10cd72a77871d2c34b56fb97d5531b0053051c2334960e513a5ce09ee27056af

Observation 1621ca73-7cb9-4216-8700-542cba087895 · inbound

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation cites this paper.

Tarot-SAM3: Training-free SAM3 for Any Referring Expression Segmentation SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T05:21:01.054911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:11:13.376684Z digest=sha256:ec6cd26cefda5f246f37eaccf49a08d4a65e14f9fe157edf957664be3dd4436d

Observation 6ed0f0cd-db33-4c86-8a47-bafd289ba025 · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

Reference 82

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:53:04.394757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T05:52:40.429412Z digest=sha256:2bd16c34d9d494ce35bfba05a457cc25069e4d5e88523b6c16ff58e40f489d3f

Observation 0a637c87-5d91-411a-a2ee-64cf1c64993b · inbound

COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition cites this paper.

COCOTree: A Dataset and Benchmark for Open Tree-Structured Visual Decomposition SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-22T08:01:16.116389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T07:56:21.445602Z digest=sha256:ee05cae3dc2d79544733f6bf5e97720c1aa7144c0ffe2871333a9262d232a832