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Paper Citation Record · LEDGER

Harnessing Large Language Models for Scientific Novelty Detection

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2505.24615.

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

pith.paper-citation-record.v1
2505.24615 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:23:19.174812Z

measured 56 of 56 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T05:15:49.513101Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T05:17:06.049986Z

Reference resolution

55 of 55 outbound references displayed

  • verified exact0
  • verified fuzzy16
  • unresolved39
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57194555-2984-46dc-b972-daaa290b1567 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:25.779620Z

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=2026-08-07T12:23:14.600664Z digest=sha256:4d725b0dead2c1e49d8143837d18f83cdf05b51eb61ec97b39ff05a2f5a50e9f

Observation 85131578-6436-4f64-9c68-8ff9a0c3a428 · outbound

This paper cites - If extending, add **clarifying details** or **restructure for better readability**.

Harnessing Large Language Models for Scientific Novelty Detection - If extending, add **clarifying details** or **restructure for better readability**

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:25.686997Z

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=2026-08-07T12:23:14.640239Z digest=sha256:99103f7e7020731280ab40aaf1964c5791cd4b4984bc6c9d27661a9b1810da2d

Observation 170c65da-7e57-43d8-8f66-2680c0ca0955 · outbound

This paper cites - Improve fluency by modifying transitions or simplifying phrasing.

Harnessing Large Language Models for Scientific Novelty Detection - Improve fluency by modifying transitions or simplifying phrasing

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:25.589766Z

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=2026-08-07T12:23:14.695808Z digest=sha256:2137f75f3713b84fa57ce4165403efb1b4416f1c1bd860b475dec0050b327ef8

Observation 41f30dcb-976b-4318-b9ba-d3e19875ed0f · outbound

This paper cites - Convert passive to active voice (or vice versa) where appropriate.

Harnessing Large Language Models for Scientific Novelty Detection - Convert passive to active voice (or vice versa) where appropriate

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:25.475018Z

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=2026-08-07T12:23:14.739688Z digest=sha256:0b1703095a9bdc37bdefcbd6191ee34d4a46f4bea0702214c05da60a6b3e0ad8

Observation 6d1dca37-6d44-414e-b70c-23d1fd196c90 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:25.359563Z

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=2026-08-07T12:23:14.822487Z digest=sha256:319a5cb651fb56a4e5a2b5cdb2f714bb17a84ccb3eee49b0f459f739767c8f06

Observation 87ba116e-717b-41f4-8bcf-c7ae86083011 · outbound

This paper cites Long-term exposure to polluted air has been linked to an increased risk of developing respiratory illnesses such as asthma and chronic bronchitis.

Harnessing Large Language Models for Scientific Novelty Detection Long-term exposure to polluted air has been linked to an increased risk of developing respiratory illnesses such as asthma and chronic bronchitis

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:25.263614Z

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=2026-08-07T12:23:14.900477Z digest=sha256:9895cd9edcdfe5187d266a6728dc0d76cab24218cafc64738671b53b7a285cd9

Observation 3f44ab6d-7485-4d65-8726-8ed42d80fe74 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.681023Z

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=2026-08-07T12:23:16.012622Z digest=sha256:d9338844f49175cba8e8d078a183a3e64973d1df5eb2c660cf71c091563efd70

Observation 650bf02b-906c-4f54-9e02-84499b42caac · outbound

This paper cites The increasing reliance on artificial intelligence in the healthcare industry is transforming patient diagnostics and treatment planning.

Harnessing Large Language Models for Scientific Novelty Detection The increasing reliance on artificial intelligence in the healthcare industry is transforming patient diagnostics and treatment planning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:23.578382Z

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=2026-08-07T12:23:16.073793Z digest=sha256:7ddff9f30cc09aa61030827c45b8c94d5638ba169c129281489731e23f113aef

Observation bb58e120-666d-45ce-86cc-7fb1e28f0e88 · outbound

This paper cites — ### **Example Input & Output** #### **Example 1:** **idea_A1:** Personalization improves email engagement.

Harnessing Large Language Models for Scientific Novelty Detection — ### **Example Input & Output** #### **Example 1:** **idea_A1:** Personalization improves email engagement

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:20.144834Z

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=2026-08-07T12:23:18.689866Z digest=sha256:e09ee60d96f95602dfd6c4d9ed2386f7f7f901fd549cccb8802242a117ae82ed

Observation 6e45c83c-e914-4d3f-b862-c4f3a0cd2f95 · outbound

This paper cites Machine learning algorithms are increasingly being used to detect patterns in large datasets, improving decision- making processes in fields such as healthcare and finance.

Harnessing Large Language Models for Scientific Novelty Detection Machine learning algorithms are increasingly being used to detect patterns in large datasets, improving decision- making processes in fields such as healthcare and finance

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:24.756894Z

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=2026-08-07T12:23:15.186749Z digest=sha256:b0253e8e238cb0842b38ce761228a29c0580bbc8c92b26e22cc6fc97232abe2f

Observation 6d827a59-606f-4128-9a9c-b236bcbadb40 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.675964Z

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=2026-08-07T12:23:15.236093Z digest=sha256:6cc145d37d0200671e4c7090714b28eeee94a16e95a9c95230a4d1c03fd7058d

Observation b767d1eb-d01e-47dc-adcc-ff6f4ae554b6 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.607440Z

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=2026-08-07T12:23:15.296667Z digest=sha256:6c19959bf87bdae1451b0b24b85754b9d1991cd9d30fd312b09c62e1b3d9df7f

Observation 0dcbcc7f-e56a-4d89-b205-41a07925d61e · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.502646Z

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=2026-08-07T12:23:15.353526Z digest=sha256:1897073ddd2f7ba6498206594e4e83ba27ed05cc08a0de0a735a2c56038997dd

Observation 0c41f4cb-5909-44a5-8690-cf21e935aa9c · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.421497Z

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=2026-08-07T12:23:15.432331Z digest=sha256:ecbb9229d5fee6831fe5415806054765eed4b3060489071bfde79b2fb394821a

Observation b27fd11d-7651-425c-8c08-eb0d32e33a2a · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.331383Z

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=2026-08-07T12:23:15.517180Z digest=sha256:8a13f9e33663dfa8b959c1c63578964534bb07a41d5e0096f50e082661f2c540

Observation ffea4732-560c-450a-84d6-f88649262d0e · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.256652Z

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=2026-08-07T12:23:15.594520Z digest=sha256:2d179fb8b97c3e9244237a0a14fc551bd69d3e6077f36456429ad6668e804fdd

Observation ce8f2248-615b-4947-915a-133de5606815 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.166613Z

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=2026-08-07T12:23:15.646643Z digest=sha256:7ca42ecf89d0f3c28359c0610727282c79eea19958f0c84d55f3ff69c2c2c249

Observation 535267e5-18f8-4a68-b88c-94d4b0cfa4a7 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.093560Z

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=2026-08-07T12:23:15.705066Z digest=sha256:ca85053dbef6e70421e082ec11f8f132703b7f92a9f2b6a941d74032f87ecdaf

Observation b0176431-eb3b-47a3-9b24-8248afd471e1 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.018294Z

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=2026-08-07T12:23:15.776904Z digest=sha256:cfb01ad53b406f415ac5e74d528e0c5057ef161f4c02d94ae9955932253813c1

Observation 9e4922f9-80e8-4e5e-b61b-6fd105b4c57d · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.949819Z

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=2026-08-07T12:23:15.858186Z digest=sha256:03a34f9cee946555f1e52086684b8a3c64f300200e78306e9242c1d3d8bd6493

Observation 93cc6713-8906-44c2-b847-25b3d863c935 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.855237Z

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=2026-08-07T12:23:15.951579Z digest=sha256:7fe492cd627d2d9ca35e7ace6931ca48350911320f181fb9324266d60a5c807f

Observation fdd2db33-3efc-4803-bb87-a1f7617b174a · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.445817Z

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=2026-08-07T12:23:16.139463Z digest=sha256:5f93b616ad7ae8dc4983783be9df9144047c5b1f519b9814f5e1ca963ec6890f

Observation 3d1ae88a-95a1-4e00-aacd-976a411572d4 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.361911Z

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=2026-08-07T12:23:16.230886Z digest=sha256:6f95c1da4e555b57b942ad79bf1e80275229cec8fbacb7d73de255fe92fa8209

Observation f380e552-b752-4827-b1b8-ea29c18c898f · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.219746Z

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=2026-08-07T12:23:16.380539Z digest=sha256:a8b4ddf8d39cdfb5044a4524d575c24e52ac64829d75a76f27af0c2f7fd32bf6

Observation d1c21c01-7121-4bed-bed3-56fd4a8e3a45 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:23.027748Z

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=2026-08-07T12:23:16.508083Z digest=sha256:6f37276670e75f3b738d85093cb894e033c09f0fbe8e75a0ad5428b03f17998a

Observation 0c85d6e5-e723-43e5-b984-63d88be5ff54 · outbound

This paper cites Long-term exposure to polluted air has been linked to an increased risk of developing respiratory illnesses such as asthma and chronic bronchitis.

Harnessing Large Language Models for Scientific Novelty Detection Long-term exposure to polluted air has been linked to an increased risk of developing respiratory illnesses such as asthma and chronic bronchitis

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:22.928258Z

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=2026-08-07T12:23:16.629441Z digest=sha256:2e6ae9804f25493424dd3564e6aff1ed8694b4c857b606b16d19e7c4bd486d86

Observation f99e97b2-523e-4b35-b1b3-1919381f7489 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:25.177962Z

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=2026-08-07T12:23:16.748336Z digest=sha256:95f81cb945c1bb49ee49ab78e69135daf3b6a02a978995ba3a94dfa78a4855b4

Observation f14bc613-267a-4583-be27-d175d1813e2f · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:25.042502Z

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=2026-08-07T12:23:16.893091Z digest=sha256:da3b9cd8b2057d4fb1411c2cf67436170ead888b1783bd6f40b769f4daeb6025

Observation 74924847-6dd9-44b7-af2b-1623ffb03fd0 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.946983Z

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=2026-08-07T12:23:17.015767Z digest=sha256:e0352be3d32e35a91598e70c8258566c63ef4a57b59b700457202f0593e3a28a

Observation 44bf194d-ba71-4bef-b995-e509a2ebb329 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:24.858545Z

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=2026-08-07T12:23:17.138777Z digest=sha256:d57c82e17e9d69568c05a25c36363d63c7c53fce0159f4c22f42987d07e8f0c6

Observation fd22c220-71a0-48a3-873f-2f9f09105099 · outbound

This paper cites Due to climate change, extreme weather events such as hurricanes and heatwaves have become more frequent and intense.

Harnessing Large Language Models for Scientific Novelty Detection Due to climate change, extreme weather events such as hurricanes and heatwaves have become more frequent and intense

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:22.851617Z

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=2026-08-07T12:23:17.251015Z digest=sha256:b641c56aa12747dde985c8845cb0ed73412849cb7c27952f085d31122563819f

Observation b6f38f58-4d05-445d-b1ee-7bd37abb9b38 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:22.764847Z

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=2026-08-07T12:23:17.397399Z digest=sha256:e2e3da55167a50a0065df6c439be262912a110796250d120608c498ce5833d82

Observation 4083dd4b-561b-4b57-94a4-744150c2c92f · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:22.523924Z

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=2026-08-07T12:23:17.503663Z digest=sha256:fedfd86dbe5e5859519e95d5e8dcea6ff603ddd2d89d3ffb7423925c8b52ed82

Observation cbf649d2-ce09-4437-bc5c-9d3e3ee6e4ea · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:22.273675Z

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=2026-08-07T12:23:17.569946Z digest=sha256:9d6d162c0fa4307440360a8926f3eb6abaec2c8bc9a7dbb5f5b9a3c824713ae9

Observation 6f695bfe-32f4-41a3-8932-1293dbfaa375 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:22.052866Z

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=2026-08-07T12:23:17.683531Z digest=sha256:3c7a491fa9001127b416a05720070176f38cd272a1434d719ce191f2447b82b7

Observation 970fa44f-b067-4ca0-995e-76ab04696222 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:21.839746Z

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=2026-08-07T12:23:17.788963Z digest=sha256:8ad572c135eacafd6ae3f18049144294461d8ec574f33232dd640e96ca290d87

Observation 66f6293b-01be-4c55-8d29-4d540ff86f6e · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:21.584676Z

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=2026-08-07T12:23:17.894582Z digest=sha256:8e7bbc6afecf4efea90ab157613b8651615f20ac528a2e369e4c018fd677e8ec

Observation af4b8284-a641-456d-9572-243709990778 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:21.330248Z

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=2026-08-07T12:23:17.993350Z digest=sha256:785ffa90badce15391d0c0c0f0da51905db9d5f33a7fa66a00e08408ef0a4c35

Observation aa7cd082-618d-4bcb-ba35-298a521800d9 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:21.225982Z

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=2026-08-07T12:23:18.078300Z digest=sha256:f4ed4b12e7cf106140399fd5fa8c6b9b6a3bd3a3980930ab78d13af3e2a6ab17

Observation db391415-e480-4ec8-89e9-bf85b1a5bdb8 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:21.101459Z

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=2026-08-07T12:23:18.196543Z digest=sha256:4f7b66c5e021732aa0ba78d8eee9c683f7eff21bfd9202bda2c00aa10d2529e6

Observation 69939226-aa22-4be7-a72c-d387ba853ed8 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:20.980001Z

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=2026-08-07T12:23:18.328298Z digest=sha256:dc366b9b2ddfadb09c531ef80c028713c80687dd42705c87ad718d15314c8a29

Observation a1792e57-b8f4-4d9e-bf03-3f9cb735738a · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:20.802411Z

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=2026-08-07T12:23:18.437629Z digest=sha256:bb31bb0692a53302ec08a9f5f4981a276d406fbd3bac932df1be31f861d24c0d

Observation 59850f95-b513-4ba5-b692-94fec1e470ee · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:20.602600Z

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=2026-08-07T12:23:18.530879Z digest=sha256:b28a4b400e14f1321515cdcfb9f2b7ba71b6dd9ec9b25e173fc9f6411e18ac77

Observation bf074f51-665a-4e88-be82-777e205e20b8 · outbound

This paper cites an unresolved cited work.

Harnessing Large Language Models for Scientific Novelty Detection Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:23:20.368816Z

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=2026-08-07T12:23:18.610985Z digest=sha256:ea57d7f9fe2327bc6f56604fb1274c9fa81ac8527778d2023c17d14493f1cf9f

Observation 20757995-4f58-4db0-8c26-8a8520078e68 · outbound

This paper cites #### **Example 2: NLP Domain** **idea_A2:** Instruction tuning aligns model outputs with user prompts.

Harnessing Large Language Models for Scientific Novelty Detection #### **Example 2: NLP Domain** **idea_A2:** Instruction tuning aligns model outputs with user prompts

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:19.952215Z

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=2026-08-07T12:23:18.755634Z digest=sha256:ee54598f0e330cbe62321eb80ad6e7d48aab2831ece3217174ac31b7dbfc70d6

Observation e5d8764d-e3ef-43cf-8e10-68c7453ea42a · outbound

This paper cites new research idea.

Harnessing Large Language Models for Scientific Novelty Detection new research idea

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:19.885321Z

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=2026-08-07T12:23:18.844384Z digest=sha256:4036c3bf50c16120acba55d33ff114b3efd189cd03930bbc744d2473d9cb00b7

Observation f565444a-3c10-4d05-a4b9-f01554f5da24 · outbound

This paper cites Examine the conceptual and structural overlap between the new idea and the existing idea.

Harnessing Large Language Models for Scientific Novelty Detection Examine the conceptual and structural overlap between the new idea and the existing idea

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:19.780757Z

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=2026-08-07T12:23:18.918424Z digest=sha256:5b906f4c6bfa6848093da5800e2b147f78ab21e7d9fb2195b89c306dfdce1c70

Observation e6ef3cdc-950c-4f8a-b246-ab33cbb49059 · outbound

This paper cites Use the Novelty Scoring Rubric to assign a score between 0.0 and 1.0, based on the degree of similarity or difference.

Harnessing Large Language Models for Scientific Novelty Detection Use the Novelty Scoring Rubric to assign a score between 0.0 and 1.0, based on the degree of similarity or difference

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:19.662484Z

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=2026-08-07T12:23:18.964850Z digest=sha256:e63239e5e65f35ef68b8302f4f21b750e1a35887d7e8bfa4176e5d506fdd3e4c

Observation f050cb36-2406-40f5-978a-1b9185118166 · outbound

This paper cites Perform this scoring for each existing idea in the set.

Harnessing Large Language Models for Scientific Novelty Detection Perform this scoring for each existing idea in the set

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:19.534324Z

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=2026-08-07T12:23:18.994866Z digest=sha256:0de68c1df8e1447d6aea0970e200cb8866525f7363c4269f99050e7858e61fba

Observation 083e1e6d-bfcd-484c-8ccc-3ef83e80d655 · outbound

This paper cites profiling and capping.

Harnessing Large Language Models for Scientific Novelty Detection profiling and capping

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:19.424535Z

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=2026-08-07T12:23:19.174812Z digest=sha256:bc596821476810a2d28c0681eb75f1c64f84afdfc6a9aafbbc7f35418d92baa5

Observation 53bb389e-abc8-4cba-8bb5-d17ae104e82c · outbound

This paper cites Text Embeddings by Weakly-Supervised Contrastive Pre-training.

Harnessing Large Language Models for Scientific Novelty Detection Text Embeddings by Weakly-Supervised Contrastive Pre-training

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:14.469681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:14.469681Z digest=sha256:4c8d46bd25608adc4a7eed83a659e43ebb7cd03adfa094af9fc1e0164ce31101

Observation be77ee47-e008-45df-add2-fe2216aece60 · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

Harnessing Large Language Models for Scientific Novelty Detection ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:14.317930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:14.317930Z digest=sha256:32a55388c8d639eb2cda60ccebab4fdf8f6decade18559a5fd2d7dca94f3bc49

Observation a58b165f-c2b0-4ee8-9dce-344bd4a5bb7e · outbound

This paper cites Denis Trapido.

Harnessing Large Language Models for Scientific Novelty Detection Denis Trapido

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:23:25.889934Z

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=2026-08-07T12:23:14.370964Z digest=sha256:4b90fa49f821bd953a528b2dc17083e035c169ea666a67aadb0367edb4989b37

Observation 649eb64d-7fbd-4860-93ef-bd8b1f29bab7 · outbound

This paper cites DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.

Harnessing Large Language Models for Scientific Novelty Detection DiscoveryBench: Towards Data-Driven Discovery with Large Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:14.341903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:14.341903Z digest=sha256:24e67b82392c9dc624376c2332abd755ac05a31a363bfa5bf7462b2ee6a9fa7f

Observation 85cd80b3-c692-491e-aa1f-7f008841dfc3 · outbound

This paper cites Large Language Models for Automated Open-domain Scientific Hypotheses Discovery.

Harnessing Large Language Models for Scientific Novelty Detection Large Language Models for Automated Open-domain Scientific Hypotheses Discovery

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T12:23:14.533610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:23:14.533610Z digest=sha256:57efcb63cc34d6e5a8ea613f762bd3d3bac68ec7861844438b6c02d696ec9bed

Pith citing papers

Observation f370e744-00f0-4bf8-a860-2338988c5dd7 · inbound

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator cites this paper.

Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluator Harnessing Large Language Models for Scientific Novelty Detection

Reference 106

Resolution
verified exact
arxiv_id, observed 2026-05-19T05:17:06.052982Z

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=2026-05-19T05:15:49.513101Z digest=sha256:e8768d1d35cb551bdb386034ec46daa2ceecde6f5cdbc455fed032343ae13be6