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Paper Citation Record · LEDGER

EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2505.04623.

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

pith.paper-citation-record.v1
2505.04623 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:13.645079Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:36:10.581673Z

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 bb8cd184-7364-4401-a920-23f1239dae01 · inbound

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models cites this paper.

Reinforcement Fine-Tuning Powers Reasoning Capability of Multimodal Large Language Models EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:13.645079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:13.645079Z digest=sha256:528442f103e9fe6f0f2347fbe674f181889dad27fdff77d0cdd5f4f1f3aed9ca

Observation 8809531c-3f7a-4032-8af3-4ab46ef679fb · inbound

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design cites this paper.

FinLMM-R1: Enhancing Financial Reasoning in LMM through Scalable Data and Reward Design EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:40.398754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:40.398754Z digest=sha256:bce6f91eaca8a706d950e483057621d9146ee31277b56d4c72c2d6d695714e57

Observation 2caf0f52-2c2f-4cb8-bcf5-c365bbbc7f9b · inbound

HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context cites this paper.

HumanOmniV2: From Understanding to Omni-Modal Reasoning with Context EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T22:36:15.038514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:36:15.038514Z digest=sha256:b01fcd5f706888c21d117ba6a020e281c20d18fcb97095d57ed948f55d5d29ca

Observation 2f29198a-1efa-4caf-8739-a82b313520b7 · inbound

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey cites this paper.

The Landscape of Agentic Reinforcement Learning for LLMs: A Survey EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 264

Resolution
verified exact
arxiv_id, observed 2026-05-18T19:21:48.404714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T19:19:36.427337Z digest=sha256:5806d02d8def9ebe3385b94ec6e664569547cbabb061ad7b6e51b0a8d1c297b4

Observation e0a7d057-b8c4-4e62-9dde-6caf0ffe500f · inbound

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models cites this paper.

XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-18T05:45:56.120572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T05:45:07.700571Z digest=sha256:44bf2f1c50169e1e1932bbc0bb0deac74903c16aac8e9411b04767c6c109c662

Observation 6cbf7b30-a75b-4436-97f2-cf6cb8b1392d · inbound

Development of a 3D-CNN-based Prediction Model for Migration Barriers in Plasma-Wall Interactions cites this paper.

Development of a 3D-CNN-based Prediction Model for Migration Barriers in Plasma-Wall Interactions EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-13T09:25:05.174833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T09:25:05.174833Z digest=sha256:3bc194164d8f6b14640439b8995140e55b884f948e819dc7125f96484ef2c1cb

Observation 0a9dfaff-cf0c-4434-995f-49833a1bc469 · inbound

Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs cites this paper.

Cross-Modal Coreference Alignment: Enabling Reliable Information Transfer in Omni-LLMs EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:25:49.792701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:10:52.629490Z digest=sha256:0c597ce15bb7f8d8490c268a0d64e97af9bb52d5637c61480cd0294479595135

Observation cb2b7095-f2cf-4861-8605-52d8989c1bad · inbound

Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding cites this paper.

Script-a-Video: Deep Structured Audio-visual Captions via Factorized Streams and Relational Grounding EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:11:03.503815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T15:07:45.595260Z digest=sha256:1aa51658bb4d3e51f6ea6b681148cb93c4a7f432547e2aed81d997cfda1f5120

Observation 87eebf59-fac5-45cc-b15c-4399c9236ab6 · inbound

Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale cites this paper.

Relax: An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:03.279034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T16:07:52.017037Z digest=sha256:53cb5282096376633b22c8efa323a5fd75967d297047779e92c99466df82131b

Observation 1afb3801-19f9-4cf1-a99e-336a9f694b0a · inbound

Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs cites this paper.

Chain of Modality: From Static Fusion to Dynamic Orchestration in Omni-MLLMs EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:10:22.117814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T12:05:54.551728Z digest=sha256:763798a88e02923eb642b286631e891871ec1874960feb1295d9f51e71ff9f18

Observation 43e2786f-801b-4e1b-aab3-a201e66cfbbc · inbound

AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers cites this paper.

AVRT: Audio-Visual Reasoning Transfer through Single-Modality Teachers EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:18:32.200681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T08:02:53.574120Z digest=sha256:1345e8925524e97a00da3366bd6566b0a8187587b6534f9c7a71384e51ab3e6a

Observation dcd6a649-c1a0-4046-af9f-6f01963efd5f · inbound

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning cites this paper.

LatentOmni: Rethinking Omni-Modal Understanding via Unified Audio-Visual Latent Reasoning EchoInk-R1: Exploring Audio-Visual Reasoning in Multimodal LLMs via Reinforcement Learning

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:36:10.587746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T06:34:57.483234Z digest=sha256:2046fc721f124922afce10b6300349d0a4e95d01e9550b59080977dd3bb75f98