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Paper Citation Record · LEDGER

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

As of 10 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 2 inbound Pith citation observations for arXiv:2603.00610.

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

pith.paper-citation-record.v1
2603.00610 v3

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T19:56:44.894356Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:25:50.303432Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved11
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c21697fe-b5cb-4cea-915f-6d36e89cf972 · outbound

This paper cites an unresolved cited work.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:43.710874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:43.710874Z digest=sha256:8e4166d6559c0058ad60add486ea8caab284d02770addbe7c17ceffdaf524596

Observation d7ba522d-8a56-4703-be79-39acbe4b8246 · outbound

This paper cites Original.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Original

Reference 2

Resolution
malformed identifier
no resolver link, observed 2026-08-02T19:56:43.721385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:43.721385Z digest=sha256:96cc66e0927f4b3ef2c2dec76956cc78bfca590dae8afe1c42a6e4f19c6f4139

Observation dfbbc5f4-da84-4d35-bdb0-d28034570e93 · outbound

This paper cites an unresolved cited work.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:43.829195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:43.829195Z digest=sha256:2101ec5c08422c9ed47ee1615824de96eb2aa95aa210fea8813e769da4e7f690

Observation 28d21fc0-b3c0-43c3-9ae9-21f76d510b8f · outbound

This paper cites an unresolved cited work.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:43.951785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:43.951785Z digest=sha256:5e523a3f5b953123e8b9732b6081b6329c8936b176bfa131740d6e7f085c8e9d

Observation 0375a4a3-9820-47f8-a0b4-2cb5643f7137 · outbound

This paper cites fin- ished, natural, and professional.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction fin- ished, natural, and professional

Reference 5

Resolution
malformed identifier
no resolver link, observed 2026-08-02T19:56:43.975425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:43.975425Z digest=sha256:39fadaa75a312874117580fb04c80ae504d07c905e77980a77a34a9dd1af89f0

Observation ba51fd35-a107-4baf-b270-e2a98b502c18 · outbound

This paper cites lo-fi aesthetic.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction lo-fi aesthetic

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.124822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.124822Z digest=sha256:23e972b0509d246c2c41d100100953fef6c8cda94489896599814bd5c9148af5

Observation d459783b-b440-4392-a84f-121ba127215a · outbound

This paper cites Because of this inherent link, the prompt provides critical contextual clues about the expected acoustic features.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Because of this inherent link, the prompt provides critical contextual clues about the expected acoustic features

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.184854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.184854Z digest=sha256:1f8d9e6fa79ca60b98bcf579f686a5d7ab9cba7a7f82fa89c7526f0f19c4bd11

Observation 55412ab5-ac18-495e-85b8-12a00cae8381 · outbound

This paper cites an unresolved cited work.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.290890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.290890Z digest=sha256:9c5ab1c449f9d55a8e81a50e4687090a204146fd55fccc39a4d7b8beefdcf635

Observation 1c6311e4-1481-460f-b417-b0929e504ec3 · outbound

This paper cites an unresolved cited work.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.400488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.400488Z digest=sha256:c18b16c8e97bc78ff07fcc992b8748ce8ad808bccfe11247089427766351fe80

Observation 66623b03-a11d-426f-84e0-980be0a79f62 · outbound

This paper cites good enough.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction good enough

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.510322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.510322Z digest=sha256:6681ae540bfb6385dede15e606a169384f21550a429224ad4091a86a015dd74d

Observation 05952de4-562e-4124-b980-3b6b092d336f · outbound

This paper cites an unresolved cited work.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.673813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.673813Z digest=sha256:a05ca5e57b8f86a91a7b98e99310a383936421314e0cb30703a30ad4227ad5ca

Observation 2ad3e05e-0657-4ecd-97d2-4cada6893d6d · outbound

This paper cites In modali- ties with abundant generations, Minimax Music and Mureka outperform several Suno variants.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction In modali- ties with abundant generations, Minimax Music and Mureka outperform several Suno variants

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.793423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.793423Z digest=sha256:19b46ea69720ccfde3fe4fed9d85a173d71b94ab0a4586d13e5302fa8481d72c

Observation 8437efaf-7aa3-4e66-9814-1eb31fdd4bd0 · outbound

This paper cites You will now be shown several exam- ples of audio comparisons to help you understand how to evaluate the audios.

CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction You will now be shown several exam- ples of audio comparisons to help you understand how to evaluate the audios

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T19:56:44.894356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:56:44.894356Z digest=sha256:7ac268d5f3603e17c18f17499abbe656d49f60cc053c7f6b14a7a145fd6b6eb3

Pith citing papers

Observation a180b172-28f9-464a-b4dc-3cb3e1f281ce · inbound

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation cites this paper.

Genre Bias or Aesthetic Perception? Identifying and Mitigating Shortcut Learning in Music Evaluation CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T03:25:50.303432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:25:50.303432Z digest=sha256:4b23372e3b7cde027bc86e1a4c53b901cac5be52bafbf5b02f26e001b10f8429

Observation c3ce65f0-1775-4e9d-b6d2-4995916b2e60 · inbound

Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering cites this paper.

Pushing the Frontier of Full-Song Generation: Hierarchical Autoregressive Planning Meets Flow-Matching Rendering CMI-RewardBench: Evaluating Music Reward Models with Compositional Multimodal Instruction

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-01T10:24:20.489543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:24:20.489543Z digest=sha256:09276ae8db0bfa043469e815c48f8468da743afab380a12bdb2b220ce0bff5e6