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Paper Citation Record · LEDGER

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2509.00813.

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

pith.paper-citation-record.v1
2509.00813 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:16:08.858565Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy15
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dce7a801-4223-499f-8457-887babd9e6c8 · outbound

This paper cites WaveNet: A Generative Model for Raw Audio.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation WaveNet: A Generative Model for Raw Audio

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:07.662863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:07.662863Z digest=sha256:fde5402bd801f88ce41735ab01fb33f6a2754be65d30d7a63e90d6e45b0aeb2e

Observation 66025463-71e7-4db2-93c2-a3e1326619b1 · outbound

This paper cites Music Transformer.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Music Transformer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:07.749366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:07.749366Z digest=sha256:032541d9cf5bf5e3d214e03d87dfe59e3a1493687c759523b322c2310bde7ea6

Observation 5d32332a-18e1-4461-bf36-0c3b71fd8ffb · outbound

This paper cites Huang, Y.-H.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Huang, Y.-H

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.223961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:07.786965Z digest=sha256:2c1895e6a387919bfb311b546cb9d6bf3bddb9e8e68b4f7b9850a7f35c0369f7

Observation 84ae5698-c2f1-400a-a152-d84192c7dc54 · outbound

This paper cites Roberts, J.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Roberts, J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.217109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:07.820137Z digest=sha256:1fd379b7062c41f66b9060a1b222e56af7a36b01555c8e40ccbb2feec8a457b6

Observation a74899b1-797e-4c60-b04d-c4620e0497d6 · outbound

This paper cites Payne, Musenet, https://openai.com/blog/musenet, 2019.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Payne, Musenet, https://openai.com/blog/musenet, 2019

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.209829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:07.924616Z digest=sha256:abfb151b5f67848eba06a58209889527c05cf9e090d27b7386e9a1f349a35cc5

Observation dfdf4b5e-4822-46f8-a8a3-161b5d05ddd1 · outbound

This paper cites Jukebox: A Generative Model for Music.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Jukebox: A Generative Model for Music

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:08.021311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:08.021311Z digest=sha256:4651cc587a43f7070ad2580088934db3b7f300ab96d6f54bbb2906a9c09300b9

Observation b301ec21-0bcd-4b2b-8bf8-7fd26685ef31 · outbound

This paper cites MusicLM: Generating Music From Text.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation MusicLM: Generating Music From Text

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:08.078687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:08.078687Z digest=sha256:e874e4c087bb041afb63424e8bb2241d289e69207a195706f9d862933392abf9

Observation 9d653753-1f83-4025-a96a-f7277427a59b · outbound

This paper cites Grötschla, A.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Grötschla, A

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.201941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.126387Z digest=sha256:2fdf366c9577ffad4a94ba0055ae1b9b36e128e9135749955df5f8b626003fa5

Observation 9cb4a3b5-4131-4f37-b156-910305ccc14e · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.194279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.216294Z digest=sha256:3f9f3aeea58d37fe55273af28412127565a13c83e73a29b1654d6d1fce023095

Observation 0737ab32-876b-4bb6-9049-3c1c7d0db3b0 · outbound

This paper cites Aligning Text-to-Music Evaluation with Human Preferences.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Aligning Text-to-Music Evaluation with Human Preferences

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-05T13:16:08.972483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.259508Z digest=sha256:fddf8b76e500d452e1f69e566dd00d37bbaaba16a35636e7fbeec89d98890dd7

Observation e056615a-1185-4b68-ba76-55803c85e0ec · outbound

This paper cites EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation EMOPIA: A Multi-Modal Pop Piano Dataset For Emotion Recognition and Emotion-based Music Generation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:08.364068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:08.364068Z digest=sha256:79e782a9326d2a60f62ab56097129303d2b80f39105b2403c3c95871fe5a4104

Observation b7e52106-b9b5-45c8-8c64-5426ab69d5e2 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.186613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.425536Z digest=sha256:e28b98c4598483b045647857e0f0f46da60e08fd5005ebdc1be5f5a7045b6938

Observation 270adc86-de4e-4202-9782-deeb0d2b2e7c · outbound

This paper cites Grekow, T.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Grekow, T

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.179014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.553123Z digest=sha256:2e28fe3fd8420d1088cf3d15886f33e9759bbd5625ab0e49902fc4e61b4ddabd

Observation 30bbace2-6c48-4ad2-b24e-5677355dd27d · outbound

This paper cites Sulun, M.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Sulun, M

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.172091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.623991Z digest=sha256:a06c9e921c8f01b8fb06bff7118185987e868860f2eb4f83be6d1de145bb6753

Observation e70d3262-baa5-484b-8d1b-7ea2d1b1cb5e · outbound

This paper cites Huang, K.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Huang, K

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.164631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.713555Z digest=sha256:09cf379cb0fa8a6a781ee2cb2056ddcd089f4f69ae4712d1211c6f10ef65fc19

Observation 83c8525f-0dc8-4b74-8d3e-a5f276e48b61 · outbound

This paper cites Turnbull, L.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Turnbull, L

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.157417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.757141Z digest=sha256:d7a76731d57cc54632ef6f8d45d9389200ad60f22bb4ea30833c0f1a25855eb8

Observation 3b9916d1-a240-4103-a597-d8ddcb538166 · outbound

This paper cites Wang, J.-C.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Wang, J.-C

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.150589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.807734Z digest=sha256:8bfeb4a3fcad510820676cdf86a1c7b25d26b83d9a2b9f6498585306101b6e41

Observation c06411c7-ffea-4191-a4a8-b56c9f169d50 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.143282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.810737Z digest=sha256:bf86f59c91dc2d357e13bb642f2f760ca507b563d5eeda57961c57556165eb8b

Observation 1dc75f50-1efc-4ee7-bc91-e1ca8f18d7c0 · outbound

This paper cites Soleymani, M.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Soleymani, M

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.135728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.813455Z digest=sha256:0dbcf8d74a4d86249c1fb1bbf7735201ba384c290895090d81c41965b90cdb47

Observation 6c249976-eb64-4417-bed8-dfdf1e86fd5b · outbound

This paper cites Aljanaki, Y.-H.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Aljanaki, Y.-H

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.127649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.816318Z digest=sha256:f21130bffdf41ec18baa8c44a45d003cae86d5b5be7cfaed4b8c3866b14be32d

Observation da07a324-6c7a-422f-94bc-ff3d84dae403 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.120306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.818842Z digest=sha256:c6dd45d1a3368972440562f1112f0b4cade3bf29c320a5efd5e4b23d2b1631f6

Observation 03ed0fba-a768-4f20-8201-d4d01fca0255 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 22

Resolution
verified exact
raw_fallback, observed 2026-08-05T13:16:08.951935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.821221Z digest=sha256:69afb7bd6ec8e9a8b5acfae8538532fe7a50ed354192bcd26f2d8a45b8e74caa

Observation e381a360-5c7a-4a1b-af75-7dc2ac668da2 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.112343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.823701Z digest=sha256:d6187787f8b97eaedd5aec092700deec55f71d5fd2c37305d45755f51116b9fd

Observation 951b0df7-f6e1-44fa-9709-ed1e19133a4f · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.104439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.826118Z digest=sha256:7916771471385d8c732041e9180d4f886d73b46f11e18b909d96f78d0bb01e8f

Observation 20261feb-7d76-47e2-89e6-613ea2439dae · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.096510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.828592Z digest=sha256:8f2805c153032107111f4edfaeb24c7e8377d722ecf4da3b00b78f9a4762fc89

Observation 286416a5-e8de-434a-a3a2-d868f109e49f · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.088596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.831316Z digest=sha256:ea87bf07494918a2f08285978d8ca2970c7a6a6f62adf5ed3494357e675704f2

Observation 9cb1704d-0205-452a-953f-4ac30d56fb62 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.080712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.833619Z digest=sha256:a7fa51874394ded8094a0a1471b664217ddf651e9b10130db5a9f58ede32c61d

Observation 21770780-f01b-4927-8881-3c8317e9b653 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.072360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.835995Z digest=sha256:6e653bc263e9150b9b28b18ccba31bfc6a8eaaf109b0f8b8ec928f1e57fd8f14

Observation d51ae088-b847-4f39-b858-c03e5d29b593 · outbound

This paper cites Copet, F.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Copet, F

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.064089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.838708Z digest=sha256:c9a553948932f7146a5a1d1f8acfd8a8d43dc2eb6c8f2dff195a74f18727fdcf

Observation afb0178d-35fc-47ae-b92f-6849f77c9448 · outbound

This paper cites Mustango: Toward Controllable Text-to-Music Generation.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Mustango: Toward Controllable Text-to-Music Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:08.841052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:08.841052Z digest=sha256:c3f1e6d3d78453aa1d5923ff87d357740db01479c9da05ff9dbd0c21c9d489ea

Observation 2b320efe-4c96-410f-b6b5-52c9a214f87c · outbound

This paper cites Evans, J.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Evans, J

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.055641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.843649Z digest=sha256:39514e638c1a04375b5902afa976a412fa20200bb87ce1128373afdbedcbe230

Observation 09912939-9ffe-430e-9714-e30650dec180 · outbound

This paper cites Accessed: May-June, 2025.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Accessed: May-June, 2025

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.047376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.846119Z digest=sha256:36335508dd3951de8a9d2084623f6fbb314114e9961f10136b9ae1cb45cd54f9

Observation a5064977-f3df-4845-a37d-3a68586e259e · outbound

This paper cites Accessed: May-June, 2025.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Accessed: May-June, 2025

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:16:09.039052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.848563Z digest=sha256:55f52aaadd9685e9dcaa0e07f32b8d7f33b4f2ef1c5df20e5c77aafb036f821e

Observation 76b5642a-c6ab-4367-a7b3-76472c74ae5f · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:08.851290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:08.851290Z digest=sha256:0d421e78165941fe0dd53b7498965d0d2211bfe3b97b52cf929f2b71b0151894

Observation e42063d0-f024-4d67-9b1d-c7d281b09464 · outbound

This paper cites Vaswani, N.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Vaswani, N

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T13:16:08.853568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:16:08.853568Z digest=sha256:7a02fa682c4087b5da3c276afa1af0ba844c3f08da88f4f9e72a146db4ca434b

Observation 804a7458-b9d5-4c23-8da7-c3c4b3ecd1f0 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.020451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.856088Z digest=sha256:f09c8651bd8bc6e0410b90d27a7814cc5ad14892964f22c31d7595493ea7ae19

Observation ca7958ef-85a5-4050-a16f-4998245fa4f5 · outbound

This paper cites an unresolved cited work.

AImoclips: A Benchmark for Evaluating Emotion Conveyance in Text-to-Music Generation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:16:09.011878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:16:08.858565Z digest=sha256:a1b6a617ac2dcf184c0d42fc59c172058eb4f4bab10244c31ac8ebc28f9da750

Pith citing papers

No inbound Pith citation observations are available.