Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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:d0d87a460c3e3ee1c8c218d5784a6455f32f2018d5928199a16cdea7251fb63e

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:b90da87bd68416a635169f091b99f0b0890380b762f29d1ae90e7a0d5056530a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:07.786965Z digest=sha256:39b623e2966e1e64288dfc5cb325df8e4113538923df717b1684005e4514fbb2

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:07.820137Z digest=sha256:a621802958f0e7089fae767be7db31ac141dc6ea7ef8a5c0d7da7523100148b1

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:07.924616Z digest=sha256:b77b4e7909ec7b897122eea6f4b1e4fbeda11a349538d57db7ca9f2a7ed5dd7b

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:d9d6e22f2b20daa364f269973591507d6ee1d5e1552c7245885edc53be6b67a1

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=sha256:2f1355a46fb4f4399c06b9a604e2a2c433b02d39dd756a35e2a7d4989392faa0

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.126387Z digest=sha256:0c9cc4c3fb0188a0b41da2d3d72386379417e83deeb3e9321179049809a1aba7

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.216294Z digest=sha256:cdc0794a398e269ad44ece4a5f20df823309df6c0daba6230cb58260911170c8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.259508Z digest=sha256:355cdcb1b3916d567ba601229cbe621b66507e149375205854c9dc2c521af512

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=sha256:4068d645b4ad48d2e31d7a3a2408b60b5cf5a400ade26e89cca4efa3f7c0897c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.425536Z digest=sha256:ce525c8033e3fcf8d174ad2dd27afc07c45b255062e56c9e92751da5ad27975e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.553123Z digest=sha256:945510d9bcea98271f4c92d0f472918e2c44dcc890de7bef6383b276aa0c4c7b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.623991Z digest=sha256:c645e6fcc2cd3a45caf0d39f5533f0e50ceb555ee9af3798aa3f2d489a7d3ca8

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.713555Z digest=sha256:c2d99d5f1010355fedbc95224e2dbfb0bbcb06cd1ad40227bd1f5d3d7ea64691

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.757141Z digest=sha256:8e3e48b21379755abb2549ccb59165da233fde77d6257594e971caf6b81f457b

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.807734Z digest=sha256:5a725607ca8368b418dc4ae67c82420825c12ae5386a72aba9ec61fb3ada8fcb

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.810737Z digest=sha256:434333daa6e925b3cf53cfd42cc575f11a88cbebb0b895cb0fcf4e6143e338be

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.813455Z digest=sha256:e91618bb49e8eef23d2d771afb665b1275dba3358f50ea85c1d3414645d0ff07

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.816318Z digest=sha256:2a03ca44b0380fb1726dcf0e039d549de3e826c65355d9caa6f165f94343ea5e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.818842Z digest=sha256:e7148234f1988819dc7374bf429ca3c25b25a7d9c0fa0c7c7da3702b537a3c8d

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.821221Z digest=sha256:e8225842246c76aa945b7a60f06ffd72dcc31a77fc3ddd9f2ae146934534b331

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.823701Z digest=sha256:eb4401b3c6b37146f548e89f27b3ba4bbd27c01af0ae5d753f6b0efe793e8aef

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.826118Z digest=sha256:5c07e947a06c88ef7634a972b206b95292d5963b2b091084b1a328094434f96e

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.828592Z digest=sha256:6cb49c92febaa857c2bd5fd68e5c1d17f5c9107078f964eedf1cb295d84ddd88

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.831316Z digest=sha256:307bf855cde8924278bce280d1c072bac4b2008208a2c62bd8d8e9d0b5ee1f75

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.833619Z digest=sha256:4f4284adaf33f96fd55b858cf59d9e070740a354358ec1257c4c0b9954479a6c

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.835995Z digest=sha256:31f03f9286fd0103733326857b44aacb16461a8fa2c65bc199e7dc407d37d14a

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.838708Z digest=sha256:7dcf5929451aa2c116433bf3031c39252917ed6e44e8bd146669523f1a6d1922

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:c834b02b7c2467640cc98eb6f3817ffd2860b7337efdeee18b38e416e8ef3481

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.843649Z digest=sha256:62b171292c4082d29ab3927e49cd129c7320be7b7f81e278458f2e71cffaf45f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.846119Z digest=sha256:757160d5b85ed6e71c82ec4c394dc9c68aba0680b9ec7396a493d39f2e3d3182

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.848563Z digest=sha256:bdafd39bc847a047df6f016188e5cffa0e64cd600bde1774af0379ceceec6a34

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=sha256:79e633bc4a08699f61ffbe784ace3a18bfe757750ed8513a14258356ba639f63

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=sha256:1d0ce822f6bab22c0710df7301ef518201ee6fc0b6c44823c0057c47e8d198ce

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.856088Z digest=sha256:0580bf428665106d5f4effe0ce36bf7d3ac51ea784370ae56b53725d94034d2f

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-05T13:16:08.858565Z digest=sha256:a0917da1946c99bd5e836ce7ad89c7377d197600815c7d05d2da025dd9fc3844

Pith citing papers

No inbound Pith citation observations are available.