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Paper Citation Record · LEDGER

Harnessing Large Language Models for Scientific Novelty Detection

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.600664Z digest=sha256:a43bff4a31cbe453aa2d9bb241c5254cc98fadd17b5155ed52d756bc8b2f6818

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.640239Z digest=sha256:ed0ab51c955526b1276e4d90410f50324c13cc036dd241eca6b536e154122854

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.695808Z digest=sha256:660b1c09bddc62085c464bf3f8d4d56572f32ef658f1e2c4c92b82357762fd37

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.739688Z digest=sha256:46afaf78da512749143d53cd3ecb6c158b2a231d0972a1d504e1b3cdf63b0222

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.822487Z digest=sha256:9a19962a376bcb644d3de8f7280e256db30241aa7aca2cb68778c1cfdb7390ec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.900477Z digest=sha256:c3bbdd9ece5004af13d6314f6a998e35c793b7abc5b75eb3a490d290298ccefb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.012622Z digest=sha256:1aab9c672f8bc7dc0fde40691ea0d5b95bcabb4a7bb7649d3498eb9ff4b62e8f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.073793Z digest=sha256:0b075bd7d6c070e5ee8c40dd2c07a14b2398c561b6d9c901725bf3a6f9da052f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.689866Z digest=sha256:91bb01a338cb00a371cb26f8a58a9508160bfad67c91b223c90538ae42f0964a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.186749Z digest=sha256:685e79cd908dac0e4f782018436c20e9dfae99eeb961a9f268b6a21a6bbabcfd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.236093Z digest=sha256:c2424fe1c4993d77267004397698b973c34789de12d37357f261bf63fba1556f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.296667Z digest=sha256:5327289c116b312666ed9dbc765c396e348c34a2fac7d93a6850bf385b7d71ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.353526Z digest=sha256:211383a712392e617033b74abf60be61c276b241b3d2b8a2fca3c1e249543ef8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.432331Z digest=sha256:a09ea5e773a601fe9600e8c53241ccc7e0bb71494bebeca378f4782174379e15

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.517180Z digest=sha256:abc1bb553619c4b39ebff152f9ef78f0a7405c9393991a0d63cd2119748ad9c9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.594520Z digest=sha256:d13924c4513a51a1f908e63a551749639bd292451f4b5f251d073438bfdd13fb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.646643Z digest=sha256:1db403f58f2503e38155eca38ad257aaf764c48ea307ac018404cbcd9c8201b0

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.705066Z digest=sha256:3a6647d392d5e2a51bd72359fbe159872200f020bd146d6350779ddfb897fbcc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.776904Z digest=sha256:6601a9346c8e4aa4b060bfe661b284523012db57fe2e41981db4816c555899f8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.858186Z digest=sha256:8ce4b1057ec454cf9c383643f2d9cee603667d5908b25d467b04f218f7d985bc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:15.951579Z digest=sha256:e90bd40715f61c023aa9de6ba7226c92be7cab55f620d424400659d609e1e380

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.139463Z digest=sha256:95e6525f8d3ca1811b73569f77670ebd2cf8ff2ee6b91ae574425d77b9fa8311

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.230886Z digest=sha256:a82c0c441abf1ecac34320660ba0db3cbfc80455bace0cd027158e851ad2beac

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.380539Z digest=sha256:d1eed81c40a6ed1a84cf68758dcb43c140f5ccb33ee8416abb6cb3a2fd911b50

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.508083Z digest=sha256:e2bc4fa3b63c050ec14b112541b018371dde9dc860f6984e82cc0c27d87b5fe4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.629441Z digest=sha256:b7d7dc3c698f6aa88c79f4327e3891900852fd540e54d501ceda96ad91ea39e5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.748336Z digest=sha256:10b701ed0f6a017b6ad12c8850b82104f191f374979fe13e4abc2031f9f60dc7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:16.893091Z digest=sha256:4f84922f3de63c3f3dc2b770d28099ddc7e5c213995c3fd4f18822fee68405fa

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.015767Z digest=sha256:b4c1ce9212b95e314be0559a612b95b557abb54fa0e3bc02a765a898192a85ec

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.138777Z digest=sha256:dcf0fc1a7a63b10ab9fb66fede99037504acacb9adffc2d18413b6e4cef3a983

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.251015Z digest=sha256:726d2c8d317e25888a83ccd0a266beea3c5ccb1fb723998a24560aa053a7bebc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.397399Z digest=sha256:c65954dcf59b9a260790e3c15b1596e2608957ae75b6d0a5870748b8c8ec8e30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.503663Z digest=sha256:385b595ab4595a8e6a5acae992f37f4341fa993b5be4b0ec7cbd0557cde89963

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.569946Z digest=sha256:24b3bc52802695323d2d233600ed0a659acee6af58b3d3e3100dcab590057ab3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.683531Z digest=sha256:bba22880dbdac37a2370c3858ff1a891b9574ec91917f52fc5193d2a23e1bba5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.788963Z digest=sha256:c4aedc5305ca3f59d006bc0476a5ba68cc36a2e429e33df4c8b3feb40e1b271e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.894582Z digest=sha256:a93fb9567607a6d925ed2cd1d5883cdb62268486b55ea402654f8f4e3d422b58

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:17.993350Z digest=sha256:43f4d500cc161770de36317eb1d66016f38be4df39eb2aa18edf9479aa919fef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.078300Z digest=sha256:3d9d16811277bfa5fc057d218dd796c79a3652e866b6de4684f094fcb9b71128

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.196543Z digest=sha256:5c9fe13a32b9e4c78930781d87f37fa01acc4eb729e94f61e8ee0c2eae51a27d

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.328298Z digest=sha256:76c544ed15f54ef7ad125cfa9221b109ee2afce5d30f9cd095495156ac3dc998

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.437629Z digest=sha256:d26a6e7625ab5b8a59cb92be02ea7c83d5c338e43bafdbbcfda2ca453139fcfc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.530879Z digest=sha256:77eecb4c7828a9e1125dbdef398b0cffe5ebe8a180ba8d882db33cf21dd2aebd

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.610985Z digest=sha256:62550b85bd45f100d46091b7d3c7f8b6a23541903beb872a7703becb159ed02e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.755634Z digest=sha256:29247ed760c4c5a6da405d8118f80a4005e4fe52510494f7c70ff34df9908224

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.844384Z digest=sha256:3f1db0283bc84b4707ce91724df39c67cd92af4d8917b7ffab430ac707070ae8

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.918424Z digest=sha256:4a9008398faad8345cf0bcff05f7d615c874249d78fcedbeefacb6fa0b2d1a26

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.964850Z digest=sha256:ee30afcf0282d9412a8f7c92605ee23b5161e3fa98a4b1d5fd94ff3715865cf5

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:18.994866Z digest=sha256:1a8788d044ef297b0a94d39a4273e5e385e2ec64078302a3ee9af7ccff5a2313

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:19.174812Z digest=sha256:1eac91a1843f2c833f2691ffa4d0f3b05a717bb17ddbe973b8613bf6dd482384

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=sha256:22319c980f6e602b0522bb6e01d749cea78b9a8c3cac158cdaf6d49df6fa386b

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=sha256:5763783e64ad44b3eba937b4e965ff5e55f1474ecbe73033b9dc2159e3694ea3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T12:23:14.370964Z digest=sha256:35a7e57280651a6a35df7bb7487521af1cd7117b362c46559c5e4c3422b66c9b

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=sha256:1670f4e1d5e7aafd2bff1290b8237491f0b36f51e6c08f62d37fb2679ad4ff73

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=sha256:249a4ef2c9261480bb43ede0e2dd0bb049385d2fd4ce368fe5a6da45eaa0ab36

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:7dc8f451cd0f6ed6ae68e0b01c32a764cf4d550cc36ba31ed02dee3f26f75b26