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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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.600664Z digest=sha256:6d76d3607cbff64119cc64eda49d9fa4da2b2efd7200bbc06d4196e7ded02843

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.640239Z digest=sha256:b15f7f6cd6250405d75440107bc0ed5fc682a80670aa13b3fbf346d9646adda6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.695808Z digest=sha256:ccb4efc884c3a6003f6044683fed96aa756836d880343813057dd8c6a36e6f8c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.739688Z digest=sha256:61ecabc18bb49acdce12630d258f6bf24afdd98900ee94386c1354ebdc49e7f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.822487Z digest=sha256:97e80725c79704de2b35417c44ed58dd75176b66eb06b0f0a9458d59657db275

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.900477Z digest=sha256:6e8e1466aa93a5d8511c4a459dd05aa4f59a1af4e6f340cadb31bcdf4394465a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.012622Z digest=sha256:b5c7b05f289d45a408ed517c6f40a2dcb7a7a9d98a75efd98982ce017baf277b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.073793Z digest=sha256:7127327bb5a500b3d79dd92563af77255fe9a58293d118b3d2e15da5510ca625

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.689866Z digest=sha256:d7c0239ffa973e10d10bcdcae0909d43d1b3368289dd4f73055b25a85d109766

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.186749Z digest=sha256:cc6b3e5f7ed0c13f891543d70034cbbed52ee389925518ab5b5f6ac65673f1f8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.236093Z digest=sha256:8915d97878e75b05e5cb69e8b7025bf077aa5fcc483b158114eb81e16c0696a9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.296667Z digest=sha256:c0f0d4a1598f65f1f825ba046df422e8adbd325dac57f0ef5d6f45f4525bae72

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.353526Z digest=sha256:b8a07453e21b4069a05efa4d520a48f6e99c7ac8770d85b3384807ecedc9e983

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.432331Z digest=sha256:a3b27901e118b8947b27e97ce0cc7d436989bb2a49fbc160083074edc8a94baf

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.517180Z digest=sha256:0f39c728dd4ebfe39c90067ef43b36cdeba30b41dafacbb354b5f96c1243c83b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.594520Z digest=sha256:4849cb3b3b841a7b2be5b3a0a2e3651e48ea44c88ba171381c729b8e2e1b25c4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.646643Z digest=sha256:4c17eadd232aeae06431331709158125c3de3f25ab54052614670b313d68908e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.705066Z digest=sha256:c16961e5188a9ab873b12a74b307269696a48d6b8733215d5158a3f247545b17

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.776904Z digest=sha256:12d8e8ddebb58763c8cb0bab55f85d7530f52f3078e1a1e06c3ea15b7a52f532

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.858186Z digest=sha256:cd4b332afe5df9b24abfcf2aedf1864ee7590ddf0f5e7528caeb633e93a99b29

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:15.951579Z digest=sha256:dfe57c1fcf62b481ca9a8d1afaafa3c0fe80d05964849b1152c3b9d1c2133b85

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.139463Z digest=sha256:6623b25e288efaf6ca35041baf8503b0b70eca39a2e6662c89859f4d08d4c321

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.230886Z digest=sha256:98b9ba401a96ac3d2d5ec53aa0cf02136f407afa96b684bb04df387469e2a9f4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.380539Z digest=sha256:ae8c845cb46c87d37ac4c92a9732b330a3f14fe2469f47ad70db1974ae8e93c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.508083Z digest=sha256:2efbb188c7cdbf63585756e697f416ce55474d0dbd185494938c876f558db65e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.629441Z digest=sha256:5048aa42dfb76d22668244b75ea6761bd00d0669196577ae2ababc7ed239ec3a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.748336Z digest=sha256:cefd56522bd7a5a0dc2a801a208d1a8b7794ec912c753b7bae5ae9347343aa16

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:16.893091Z digest=sha256:76aa9058749753cfb07d3c075d257ddc2d34a633c571e05e6cc2cb856f33683f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.015767Z digest=sha256:ecebe04c4817060e690a4bbb8ae4b425266ce0f0dab69cf041adc5e0d9aab7db

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.138777Z digest=sha256:778659e0ac29015bc676a893823c13cdfed42a9149a14116f8f97b6f14e07fb0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.251015Z digest=sha256:75586d360a507985148389d52572bbfb2182483d0288bedf82d67a31f5fb579d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.397399Z digest=sha256:aca91d975a4987363640e0ea2998caf9816d5b60cf4a61c33e1f655e0b1081c3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.503663Z digest=sha256:f201f832552a9253403768a6b239e8606f5b71d7de5d43119644a9a6f8374f03

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.569946Z digest=sha256:397dbb67a2be4ac29903265194aa64a7f3ac268a39089befb3bbfb2cc5645bb0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.683531Z digest=sha256:bc085b05bc2f7bdb9c10066c3100f8e2dc084d0b8aa4f36716c21c7d5456c306

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.788963Z digest=sha256:44a8e90fe8a198927abb6e3676049a697d530769fed0f7a6698c22fee22c4d94

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.894582Z digest=sha256:3b4f8607d9d2cf6086c6c7d74473cf08f8235363ebd68a5efc081ae2068bc3a2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:17.993350Z digest=sha256:26b95161df958356d45c0548617cb0c9e88d56f473c91a34e5f2a0230e587fc0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.078300Z digest=sha256:9d3c8377356ff875f5ba3e7bc4874ce412e055dda4bd56e527d44c6195b500e2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.196543Z digest=sha256:96eb60875141804589adab8343c7e119385ea261c44919bfdeddc2e641f4c11b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.328298Z digest=sha256:abd396bd1db24dfea8265788e761ced6d8d6cc1aef30706df60b77f8e205545e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.437629Z digest=sha256:d3381b926593454802d1754b0a888a56dafc47a1b57f4a0a97fcaafdaee22635

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.530879Z digest=sha256:178360754870035b1feccf2de66e2c47dc2a5393a24bf103ad3d8510b530a8ed

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.610985Z digest=sha256:71309c1a4a54d831a901ba6a3c92e17538a53f471e746cdc9d7b9e129ec73496

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.755634Z digest=sha256:761b02f5bcfb9233ffb24682b68704fdcf9904707918d451f8401e64c347498b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.844384Z digest=sha256:ed694a8b0326515718ba24c8b32fb7d4de27b10b4ad6c3b31fba6f859d2c46f9

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.918424Z digest=sha256:796e6b6be2f2859059f8348974f5ce6b990774db92089074f35201a4316c9273

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.964850Z digest=sha256:353720e0e80103be9225b48b0e068309619fe55992df75b68ff0ad1645c8250f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:18.994866Z digest=sha256:67098e328b28a6ab1cfe96184333b0481c4517236ccd41541eda6842702aa3d3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:19.174812Z digest=sha256:eb52f18adb246edbfe5734ba1d83cac3916f70d71eaee72f435b3c62d865324f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T12:23:14.370964Z digest=sha256:0e69014c9d884b3e3e76f56825cb50f49290b7700404cdf618b2f55e266787f6

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=sha256:3ad159fa44048cc96b8c5af9098dfc9f769d9baf10049c04c2c97ada8cc5923e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T05:15:49.513101Z digest=sha256:096cea11af14f79bef545cc4a5d70641db3f859ad34274915fcd47133c9fa068