Pith. sign in

Paper Citation Record · LEDGER

Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.07167.

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

pith.paper-citation-record.v1
2410.07167 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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:11.527741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T19:45:00.682859Z

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 d6970a0a-68eb-4b8b-8841-49d7ff231925 · inbound

Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM cites this paper.

Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:11.527741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:11.527741Z digest=sha256:d96f8b1705ccbdeb6aae58ab7542aa1bd5a615242c5c89069fa9457a7fe6325f

Observation afd9b67a-ee7f-4db6-a5d8-cecc6819e3b2 · inbound

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models cites this paper.

Analyzing Fine-Grained Alignment and Enhancing Vision Understanding in Multimodal Language Models Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:52:07.553797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:52:07.553797Z digest=sha256:89feb395036c119f39725ade89fd2673c92c7bc0dd339adfc2a1f397c0e3f523

Observation c11fcb7d-a043-4238-9988-5fe90ad14551 · inbound

Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap cites this paper.

Bootstrapping LLM Robustness for VLM Safety via Reducing the Pretraining Modality Gap Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:37:20.984510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:37:20.984510Z digest=sha256:18ce6949ef86b915c40a6aca4aacbc569e476d9784d84ae5600411846b42d2d7

Observation ea38c2f4-6165-4719-8c34-37e37b7bb1a4 · inbound

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models cites this paper.

SEAM: Semantically Equivalent Across Modalities Benchmark for Vision-Language Models Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T16:32:42.939167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:32:42.939167Z digest=sha256:311a33257a80678165990372a267b096414a19a07fbfd4ecc3a068ce9572ffec

Observation 37d341dd-0cd8-44ac-9657-7fd031ebfc28 · inbound

SEDualVLN: A Spatially-Enhanced Dual-System for Vision-Language Navigation cites this paper.

SEDualVLN: A Spatially-Enhanced Dual-System for Vision-Language Navigation Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:33:19.172520Z

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.

source=pdf_text observed=2026-05-20T13:31:16.012419Z digest=sha256:d620e21415f2073793df844bf175bb7f0dc3e776ebf020fbaef4eccfb7c2e758

Observation 06f3f885-7a39-4372-90a5-42c8deca1fbc · inbound

SEDualVLN: A Spatially-Enhanced Dual-System for Vision-Language Navigation cites this paper.

SEDualVLN: A Spatially-Enhanced Dual-System for Vision-Language Navigation Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:45:00.684556Z

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.

source=pdf_text observed=2026-06-30T19:42:41.238072Z digest=sha256:d25466665a80b2bceeec9e0cc9c97f97bd21af38ebac8980f5c9a3ec839f5725

Observation eed17356-21fa-4a12-90e4-9976229c8bf9 · inbound

LoMo: Local Modality Substitution for Deeper Vision-Language Fusion cites this paper.

LoMo: Local Modality Substitution for Deeper Vision-Language Fusion Deciphering Cross-Modal Alignment in Large Vision-Language Models with Modality Integration Rate

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:15.119706Z

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.

source=pdf_text observed=2026-06-29T08:20:05.081980Z digest=sha256:0833f29ea05009901342495f0eece850a667e5c79b109764c59597df946a8321