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Paper Citation Record · LEDGER

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models

As of 13 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2608.04351.

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

pith.paper-citation-record.v1
2608.04351 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:44.058734Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

  • verified exact10
  • verified fuzzy3
  • unresolved27
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ccf72dc3-1cb0-48a4-90b4-35f92071835b · outbound

This paper cites Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Efficient Self-supervised Learning with Contextualized Target Representations for Vision, Speech and Language

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:43.893409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.893409Z digest=sha256:98c2323e7609e08a462c580e1123c5781959207c6b09d9ab7fb348a1cf2af8a5

Observation 35a5f02c-5c3a-4a7a-96b8-bc7a09c8bee2 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 2

Resolution
verified exact
doi, observed 2026-08-08T19:15:44.161946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.897916Z digest=sha256:4b95ef0cc0f1a9fdfe53e57238e48c0554e29622a49e80dbf538eaf10d72791a

Observation 37dfa491-b331-4b30-bdb8-9d1080ac3795 · outbound

This paper cites Chang, Sungbok Lee, and Shrikanth S.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Chang, Sungbok Lee, and Shrikanth S

Reference 3

Resolution
malformed identifier
doi_truncated, observed 2026-08-08T19:15:44.151617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.901691Z digest=sha256:fd1ffcc697d1eb02ac38b1dfd6ac2f20e76024065ee13b24a5cf747a0db7c283

Observation f7c38348-990b-49e0-8aca-7159ea163e29 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.952403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.906296Z digest=sha256:7cb48bfdc6e0f17b46dd4bdd86f53101535be40aaf437c6979755567c3963946

Observation 6e684e85-a3da-447b-a46c-bd6b529213d3 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:43.913852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.913852Z digest=sha256:64bd956cc63e5dc9d576c2e1eb806ba7ed9f6e1d8665f1975748a22c7a9b7cec

Observation 4aa39268-6fca-464b-b479-b1f1116925b4 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.933208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.917277Z digest=sha256:eb9ec86ccdc21448c51ebf1ae6d1b52db642b97c4f34b351533d8505445b6673

Observation 341f5b88-ecaa-4e23-b590-a0b29afbb862 · outbound

This paper cites Qwen2-Audio Technical Report.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Qwen2-Audio Technical Report

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:43.920939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.920939Z digest=sha256:42b64bcdf6958bab62fda08467bb525bcc43139bfa4cec71f30228fa22fa9848

Observation f9b3e77a-052c-4c36-a606-6f5ccd00b48d · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.923127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.925801Z digest=sha256:739d8382f7476f326671c74697aae63adfa9216b4079cba815ddd7fea9c4929f

Observation c587a0d2-a2da-468b-a878-d88baf884dcd · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 9

Resolution
malformed identifier
no resolver link, observed 2026-08-08T19:15:43.929446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.929446Z digest=sha256:bd6cc93b230fb470d62d057645d2892fb450ccd7bc5196afa7b925ef4a8e5898

Observation 21fbbb05-6aaa-469b-a6f9-90afd4ae9e8f · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:43.932844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.932844Z digest=sha256:1b081cbe096898bd90bc5cb2e73bbbdc92309add300d6b498e81d0d280ae924f

Observation fa2e61f4-392e-4ebc-bcc2-967ed3513591 · outbound

This paper cites Scherer, Björn W.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Scherer, Björn W

Reference 11

Resolution
malformed identifier
arxiv_id_nonexistent, observed 2026-08-08T19:15:45.641536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.936538Z digest=sha256:2596cb64c9eb0b5cdc331fe5bb785f768068de0731e19560f963ce71041fa55f

Observation c4dbbf46-5af0-43cb-8f79-b94c783ea9be · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.913502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.939956Z digest=sha256:5e3df7619cba92ea78c156ec68a8b28e00bea6c6474fbac624f49801cf94089e

Observation fd30ea7b-6ab8-483a-a1e9-1abc9f54f098 · outbound

This paper cites Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Emotion Collider: Dual Hyperbolic Mirror Manifolds for Sentiment Recovery via Anti Emotion Reflection

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-08T19:15:45.467508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.943440Z digest=sha256:ab375584c32033b7078ae7a54a9ab287d1c4135dbebb6413e241726de1ade7a8

Observation bf980c8b-6279-473b-ab60-0765503ff9a9 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.902065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.947058Z digest=sha256:e36f81ce221396d7fd7d9d2867021bea7047bd1ac135418f553046c8c478ba3c

Observation 30db3ef0-394e-44d4-960b-d7e4deb18fde · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 15

Resolution
verified exact
doi, observed 2026-08-08T19:15:44.129094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.950458Z digest=sha256:38f13bb7fed32b0a34911315a99e78b27cc0321b9570cdc02dd924b0a1a81728

Observation 5339e3f8-b528-4798-8605-46c3eb77744d · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.892182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.954017Z digest=sha256:869eebe7fb3ba559124e78adfdb526e9b3586288c68e11acbdf427d447914f6e

Observation 1ad3eec0-6167-4b08-b3aa-a0c0fc8e45aa · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.882418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.957593Z digest=sha256:9f61c074b2fdd4a0beec6160c798f0afa5d60f9dfe24fa635e9fc22f37ab1282

Observation 586538d9-ee40-4e5a-a54a-14c15c100aa0 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.872786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.961328Z digest=sha256:b5d952a4824b373f42db18d879b2ad21ff911b86b1c04a4e02896a1de40e60f3

Observation 42dae909-3064-414f-ae4a-18ef1e1319d5 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:15:45.863124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.965190Z digest=sha256:643fd34f0663fca0cac20979affc3457bff354b17ef701f26c9d1a8099fabf5e

Observation 6d599e99-8c4b-42d4-8179-417c1cb04a80 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 20

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T19:15:45.852415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.968573Z digest=sha256:cbece98a3662ae151350f3a9d25be0050a17585267b1e4702872762eb48c8162

Observation e8d9353e-22c1-4466-ab75-ff36a3a9fbc6 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.842448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.971863Z digest=sha256:e72059b1506048fa2f610082ec64c887c827496eddfbd14407196b50bc6f7373

Observation fc08b666-161b-45e2-aaae-ea145123401d · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:43.978726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.978726Z digest=sha256:3f44322d36618a8da34119c8635bbd6f9eb172664dd67b33882723f73bcc8dbf

Observation d6beabda-a626-4fb7-a31b-0d5d108fd4e6 · outbound

This paper cites doi:10.18653/v1/2025.findings-emnlp.1018.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models doi:10.18653/v1/2025.findings-emnlp.1018

Reference 23

Resolution
verified exact
doi, observed 2026-08-08T19:15:44.118543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.975235Z digest=sha256:674df826ecf8c9edbf061e3f45536b64155637006804c900f6945751204081ec

Observation 08ffd019-126e-4975-a109-19066797354f · outbound

This paper cites Livingstone and Frank A.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Livingstone and Frank A

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:15:45.832543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.986349Z digest=sha256:c89d9469f8d2a9fa8de514d33c5936fc6cc9e81f14be6f42c090dd788137b06d

Observation afedf3c6-41ae-4585-8649-a5dc98563e46 · outbound

This paper cites Multi-Scale Temporal Transformer For Speech Emotion Recognition.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Multi-Scale Temporal Transformer For Speech Emotion Recognition

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-08T19:15:45.454049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.982357Z digest=sha256:a9146666b9eb3be963c21b23a6feac00bf7266b8653539d0c3c965bcabcd0cb4

Observation 1b670529-ef92-41b5-a60a-1e13c778b807 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.822200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.994230Z digest=sha256:97b1eddbd56ab66b08fc174f1efe7e26b464990d3012bf54db64c613faaa9350

Observation e0a38af5-a145-4534-8a0e-75a1f567826c · outbound

This paper cites EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:43.989920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:43.989920Z digest=sha256:a276f49fb1ddb6322db180f9a3be5cf47c63397a5c052b9fa1611751bf522dbd

Observation 0e391132-2c5d-4e9f-9d02-d7f3d2b49a51 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-08T19:15:45.811722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:44.001114Z digest=sha256:a917ffeb1139264a32330523cb91a98809eb02031b65c22e71379911e4a5f31b

Observation 3da2e6f7-4d0d-4bed-8f54-558e2031e681 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-08-08T19:15:45.431546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.997674Z digest=sha256:3aeb9b2d6390d33167b0a35fb63db12e0b37b19f72f8464d80a2f2443a77fbd2

Observation a135f17d-902a-4786-8d56-068c900a2f76 · outbound

This paper cites Hyperbolic Safety-Aware Vision-Language Models.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Hyperbolic Safety-Aware Vision-Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.007811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.007811Z digest=sha256:0654770984115a1ce88bee96f41c244e1555de0964d16fe1174795730c5ebe9c

Observation 952bf5c9-3f2a-467b-a639-310c5c5a743c · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.004354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.004354Z digest=sha256:9c6984e64de5e7c221a74f7b23921432c108a5ed1cacdd7fc8048bb627681152

Observation 8dc77bbb-1097-4bde-93a2-329eff1b8dc0 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Robust Speech Recognition via Large-Scale Weak Supervision

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.015366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.015366Z digest=sha256:5d5326d5ceafa208522580d5530d25fba4fb89fa35a8800e30ff0793cb84a650

Observation 2ed6d36a-8f6a-4c61-9d8e-c564d37add6d · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.011593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.011593Z digest=sha256:394ec1c843ae807361d6253d59ca67cf55903f130ea50fa45e2be0e5afad10a3

Observation 63808c7b-c362-4299-964b-b9cf17f20806 · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.024354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.024354Z digest=sha256:02cdab8adfa6a482a593f2b1522b41b72d2893583d7244c47bcd907d1988b3c6

Observation ecb311b3-4351-4e9c-a980-8ea671cfb86f · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 35

Resolution
verified exact
doi, observed 2026-08-08T19:15:44.096102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:44.020008Z digest=sha256:fd989f738bdfad9bb2640324e7fb96c53de0b853988515088d7487b47d50cfb7

Observation af846723-394c-4da4-b69e-fc87ffb09693 · outbound

This paper cites Schuller.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Schuller

Reference 36

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-08T19:15:45.017742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:44.031628Z digest=sha256:004ba54fc3bd68f66f5ddd7d88ea816d978eb021082367d84035f00bf6ee1dce

Observation 9f692828-520e-44a0-881b-776fcf55bcdb · outbound

This paper cites EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models EmoSLLM: Parameter-Efficient Adaptation of LLMs for Speech Emotion Recognition

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.027980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.027980Z digest=sha256:432e62ac8ee7c5eeed37b0ecc6af39a94965b256794da57da23d5ab3d9b06655

Observation 75ea8792-eea1-4be7-b1ab-a7d588b37c32 · outbound

This paper cites Dual-Stream Decoupled Learning for Temporal Consistency and Speaker Interaction in AVSD.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Dual-Stream Decoupled Learning for Temporal Consistency and Speaker Interaction in AVSD

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.039215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.039215Z digest=sha256:9aa287cf7a6c8821703b3d370cb4382d39ff1537e5b55976185f21fa848a4a9d

Observation e903dda0-ece7-4874-82ad-6e0d50f44a8d · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.035169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.035169Z digest=sha256:888151e2fcb8e03473d8707d195777842a825d5d3233dafb96e98ba295430b00

Observation ee264efb-95aa-4d6f-b2dc-5bdf5b2b4379 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-08-08T19:15:44.648414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:44.046897Z digest=sha256:a743b3b8f64deab8349b08cefe9001f14042cc0d51a3b45f54d2002c29b01266

Observation e02afb6f-8030-462a-8c6e-bd334641fa9e · outbound

This paper cites Ho, and Hung-yi Lee.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Ho, and Hung-yi Lee

Reference 41

Resolution
malformed identifier
no resolver link, observed 2026-08-08T19:15:44.043540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.043540Z digest=sha256:b7e71b007754fc68a8ff1af02d8cf0ad7d74a97b09d57a655998fae6f3941d57

Observation da310fb0-4075-4cd4-a172-5fd84d319b9d · outbound

This paper cites HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.054286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.054286Z digest=sha256:ad8fd1355ff4431567882d4b25a92bf6826bf8a335b88e43100b363f8cc0adb2

Observation cfc474b1-d237-47e2-9a2f-980c0503bcbd · outbound

This paper cites MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-08-08T19:15:44.414931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:44.049979Z digest=sha256:14c7ed4bbe35fc17687975e47d76405fc19ee70f2306f298db51bd6ba5d40769

Observation 9392266d-41d4-4c67-a38b-a557fe990247 · outbound

This paper cites an unresolved cited work.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-08T19:15:44.058734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:15:44.058734Z digest=sha256:f18026588afc2954a26af0b1cb1b44623eb7448e464ed9d711282859af378fe2

Observation 0cd58374-058f-4bb6-92aa-1c2a16acbf00 · outbound

This paper cites InProceedings of the 33rd ACM International Conference on Multimedia.

HyPASE: Hyperbolic Geometry for Parameter-Efficient Speech Emotion Fine-Tuning Framework for Large Audio-Language Models InProceedings of the 33rd ACM International Conference on Multimedia

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:15:45.942941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-08T19:15:43.910043Z digest=sha256:c8a79cc1b2aea2b6f87c4118d61c2890d483a47ead40e61503fa1909e0d4235b

Pith citing papers

No inbound Pith citation observations are available.