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Paper Citation Record · LEDGER

LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2306.06687.

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

pith.paper-citation-record.v1
2306.06687 v3

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 2026-08-15T06:32:42.880941+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:47:39.932706Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:22:04.240381Z

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 45f1048f-03b8-4514-8ac8-f1e834c67083 · inbound

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension cites this paper.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T16:59:50.548101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-12T16:59:50.495335Z digest=sha256:03895c939f55da4ed7813b98967c9f2f80512b7d5cd23f3c455340f19528becb

Observation 276392f6-c458-4c68-9c0f-f98b6c696e35 · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:22:04.243041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-17T01:22:04.035994Z digest=sha256:b6c682fcd91e40c50a0dd822c1974b56b9239aed5de3268d7247ed47539f8b8e

Observation 5de93d22-69aa-48d6-b8e1-b44b4aba09db · inbound

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI cites this paper.

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:37:41.718632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T05:37:41.401736Z digest=sha256:12e374435f45ac2dd66de3205c2cb0238dd775a4090effac9e746e7b9797072c

Observation 0a86745a-2d52-4fb0-a03c-8bcc4bd63ff5 · inbound

Generative Timelines for Instructed Visual Assembly cites this paper.

Generative Timelines for Instructed Visual Assembly LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T17:47:39.932706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:47:39.932706Z digest=sha256:4762f199e07805f2adb6f9cc51afd9c6473d81889f51ee934e134a7ad93c81cf

Observation cc79bc80-7495-4fde-9a89-0b4e35b2e3f9 · inbound

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants cites this paper.

MedMax: Mixed-Modal Instruction Tuning for Training Biomedical Assistants LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T13:53:58.107338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:53:58.107338Z digest=sha256:4d7fff2cffb78a7d8426567b7396201c5f8710995026ce65c4d265c51a4900af

Observation c43b7dc4-e864-4441-90c3-98f940ce2eef · inbound

J-EDI QA: Benchmark for deep-sea organism-specific multimodal LLM cites this paper.

J-EDI QA: Benchmark for deep-sea organism-specific multimodal LLM LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T11:19:55.616921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:19:55.616921Z digest=sha256:bdd5f5905ea1521a58fabb543294b4447f3160184e861617aef48b34cc906cd9

Observation bd48bb28-a063-490f-ac66-bd8a54c02acb · inbound

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription cites this paper.

Open Foundation Models in Healthcare: Challenges, Paradoxes, and Opportunities with GenAI Driven Personalized Prescription LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-09T11:34:08.509966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:34:08.509966Z digest=sha256:34d32abec056d87546021480be9669bb24a66c78025ab04107134596919e940c

Observation eb2dfaed-8279-4d42-9cac-c2fa98baea49 · inbound

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation cites this paper.

Pisces: An Auto-regressive Foundation Model for Image Understanding and Generation LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T04:34:10.895265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:34:10.895265Z digest=sha256:51b1a16ba4dce5804e164d5646013c5872121cbc2f82034f3882a13f9e805af9

Observation f852d706-4f23-4ec5-afb2-54e1404b1277 · inbound

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models cites this paper.

Argus: Leveraging Multiview Images for Improved 3-D Scene Understanding With Large Language Models LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:13.260546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:13.260546Z digest=sha256:87c81bc773856cc2dca6701f992e06183f920afce69695edb1d09a514dbdcf11

Observation ca4deca7-28f2-4a59-ab18-b6c3b99817f3 · inbound

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning cites this paper.

AeroRAG: Structured Multimodal Retrieval-Augmented LLM for Fine-Grained Aerial Visual Reasoning LAMM: Language-Assisted Multi-Modal Instruction-Tuning Dataset, Framework, and Benchmark

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:40:19.799648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T04:46:22.891034Z digest=sha256:13d335c41bbd85ce069a8379ae2295eeadf970238a3f5d1e034906b1a548eef2