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Paper Citation Record · LEDGER

InterFeat: A Pipeline for Finding Interesting Scientific Features

As of 18 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2505.13534.

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

pith.paper-citation-record.v1
2505.13534 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:41:24.732926Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:33:42.770705Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:57:13.036786Z

Reference resolution

18 of 18 outbound references displayed

  • verified exact3
  • verified fuzzy5
  • unresolved8
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e811ada-f5fa-4c32-9d38-3cc7c18ab1cb · outbound

This paper cites an unresolved cited work.

InterFeat: A Pipeline for Finding Interesting Scientific Features Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:41:25.186589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.705287Z digest=sha256:5f4020ee4ef70e4e4e6feef926b7d90c8c26cd7ceb8e1dbe37a32048456a656a

Observation 4cc88c49-1286-4e7b-8701-795c5ba82a27 · outbound

This paper cites an unresolved cited work.

InterFeat: A Pipeline for Finding Interesting Scientific Features Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-15T20:41:25.172514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.709809Z digest=sha256:03fedc60390b96633ef73a1cd5a15da3ddd5bf682e3ef41c6f381794c99a3492

Observation 8025fa47-03d2-4038-952d-50184be7bf0f · outbound

This paper cites Not interesting/novel at all.

InterFeat: A Pipeline for Finding Interesting Scientific Features Not interesting/novel at all

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:25.156615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.714115Z digest=sha256:a4b11c01e5f0e4d54e905ef1300a2452b9b4a0d9c1b907cd13e3f594b381331d

Observation 0cb1e4a3-08b5-4b35-bfdd-976eb7a7c1f5 · outbound

This paper cites •2 (Disagree): Somewhat interesting; minor curiosity but probably no significant follow-up.

InterFeat: A Pipeline for Finding Interesting Scientific Features •2 (Disagree): Somewhat interesting; minor curiosity but probably no significant follow-up

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:25.098289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.732926Z digest=sha256:77c2942edc305d94d2992df4e327fa3e1c34d859c5f283b1d5951af2b8f75d5d

Observation f00b1f51-27c3-41f2-9390-4a504a6d8107 · outbound

This paper cites Superhuman performance of a large language model on the reasoning tasks of a physician.

InterFeat: A Pipeline for Finding Interesting Scientific Features Superhuman performance of a large language model on the reasoning tasks of a physician

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:24.660204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.660204Z digest=sha256:e056f9b179cefdf2bcbedeb827cb145ba847a29da819c844d654e439019b469f

Observation d6e78858-8db1-4de3-8a8a-fa6bfe1f0410 · outbound

This paper cites LLM-Select: Feature Selection with Large Language Models.

InterFeat: A Pipeline for Finding Interesting Scientific Features LLM-Select: Feature Selection with Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:24.679524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.679524Z digest=sha256:9856ae53506b2ccbf71aaf5004b3fec43691ecee65a2f0e55e1a4f5891e3853a

Observation 32e6bab6-3692-4f15-bc3e-435695b1864d · outbound

This paper cites •2 (Disagree): Slightly novel; mildly surprising, but there is some prior knowledge or literature.

InterFeat: A Pipeline for Finding Interesting Scientific Features •2 (Disagree): Slightly novel; mildly surprising, but there is some prior knowledge or literature

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:25.142131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.719467Z digest=sha256:e882e07ef769b6f1bdfcdf15d6079f2bf899fb18ea1d5da926036d88b9a03d61

Observation 4dac1f01-9a68-42a0-8ac6-cb167f54ed65 · outbound

This paper cites •2 (Disagree): Low plausibility; rationale is weak or uncertain.

InterFeat: A Pipeline for Finding Interesting Scientific Features •2 (Disagree): Low plausibility; rationale is weak or uncertain

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:25.127660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.724370Z digest=sha256:5e84354c3aecedb008bc535e50c348485dcc38a136be2e08afb76867d3535685

Observation e83512b8-ed7f-40e0-9990-62253554f837 · outbound

This paper cites •2 (Disagree): Slightly useful; may have niche relevance but limited broader impact.

InterFeat: A Pipeline for Finding Interesting Scientific Features •2 (Disagree): Slightly useful; may have niche relevance but limited broader impact

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T20:41:25.113304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.728746Z digest=sha256:04d1d95aa434c4ed31c20475c8a2f2f2b738ea091e5d7509e216fac9087ed5e1

Observation 5fed546c-8831-4388-9bee-d8f80ffc8aef · outbound

This paper cites Hypothesis Generation with Large Language Models.

InterFeat: A Pipeline for Finding Interesting Scientific Features Hypothesis Generation with Large Language Models

Reference 372

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:41:24.699703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.699703Z digest=sha256:4b655f437cf2cf89eab116c62e5db25772eeccda53573e85bc40bca3e5d0391c

Observation e579d7f8-ba20-4343-adce-8a5753ffe8c0 · outbound

This paper cites doi: 10.1093/nar/gkh061.

InterFeat: A Pipeline for Finding Interesting Scientific Features doi: 10.1093/nar/gkh061

Reference 2004

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:24.650161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.650161Z digest=sha256:66b6c9fe25c45c8e2acab817be0ac90d54b17f182e509c39e05fa27754d535ae

Observation 5cd53819-1e5e-4671-92b5-9fb2c9de1e3f · outbound

This paper cites doi: 10.1016/j.jbi.2017.08.

InterFeat: A Pipeline for Finding Interesting Scientific Features doi: 10.1016/j.jbi.2017.08

Reference 2017

Resolution
verified exact
doi, observed 2026-08-15T20:41:24.767754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.675414Z digest=sha256:420995d3d67b27a16497b2a5e12cc1d496b17eddc4f5c237cb47b5c0c1c6cad2

Observation 1b731918-186a-4681-afc1-7e394f3001f5 · outbound

This paper cites doi: 10.1109/ACCESS.2021.

InterFeat: A Pipeline for Finding Interesting Scientific Features doi: 10.1109/ACCESS.2021

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:24.665861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.665861Z digest=sha256:a38102e7b84ed23d04eed0bdf22630e799b6c28dc078d5b9725f57006dfcc372

Observation f33cdf31-8751-4e4b-b0ab-d914f9caadf0 · outbound

This paper cites Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation.

InterFeat: A Pipeline for Finding Interesting Scientific Features Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:24.694198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.694198Z digest=sha256:6e143d4471fc12b65cfced4bba705692f07cf90ea23df92f8ea20b61b9e64988

Observation d781eafe-c390-4f49-841a-777066548d57 · outbound

This paper cites doi: 10.1093/bioinformatics/ btae353.

InterFeat: A Pipeline for Finding Interesting Scientific Features doi: 10.1093/bioinformatics/ btae353

Reference 2024

Resolution
malformed identifier
no resolver link, observed 2026-08-15T20:41:24.683716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.683716Z digest=sha256:599bcd31f52214603dfea11e372c83945fb42f2daaad6397f160457cf4b05e86

Observation 7feb47c7-3753-433e-8e45-688a7d4eb8d5 · outbound

This paper cites URL http://link.springer.com/10.1007/ s13748-015-0080-y.

InterFeat: A Pipeline for Finding Interesting Scientific Features URL http://link.springer.com/10.1007/ s13748-015-0080-y

Reference 6360

Resolution
verified exact
doi, observed 2026-08-15T20:41:24.781811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.655305Z digest=sha256:d180c922b6e3e17f4a7acafa7637037499be61743a9832eaf843eddb9333a7b4

Observation 928e9866-6289-4ef0-b9cd-abcfe04fc128 · outbound

This paper cites URL https: //muse.jhu.edu/article/403510.

InterFeat: A Pipeline for Finding Interesting Scientific Features URL https: //muse.jhu.edu/article/403510

Reference 8795

Resolution
unresolved
no resolver link, observed 2026-08-15T20:41:24.688559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:41:24.688559Z digest=sha256:2c7d448dd478013c1e4527dea76d6c6bfe2bc274dba2d48a2b3db70541b2fb19

Observation cff5fd4c-1476-4365-b5e2-f069b8c50a1e · outbound

This paper cites Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks.

InterFeat: A Pipeline for Finding Interesting Scientific Features Accelerating Prototype-Based Drug Discovery using Conditional Diversity Networks

Reference 9066

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:41:25.000024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T20:41:24.671013Z digest=sha256:79ba31b1aca6f8a817e22dbcd5c0f22a96a0fc66ca5f26825781d7029259089b

Pith citing papers

Observation 501c3d00-51d7-4a1b-99b9-4004b0069c7f · inbound

Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence cites this paper.

Unsupervised risk factor identification across cancer types and data modalities via explainable artificial intelligence InterFeat: A Pipeline for Finding Interesting Scientific Features

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:57:13.040121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-19T08:56:50.607155Z digest=sha256:d13b7cd2a4d11e64d85e066aa4516ab62599cfd6562fa135ab1c895b9b360849

Observation a101e850-d3bd-419c-a5cb-aa31c4eaf533 · inbound

Interestingness First Classifiers cites this paper.

Interestingness First Classifiers InterFeat: A Pipeline for Finding Interesting Scientific Features

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-05T15:33:42.770705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:33:42.770705Z digest=sha256:313c1c418dfd875d00d567c7336d83b78775d2ca1b1deccceb9513e6cf16020d