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Paper Citation Record · LEDGER

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2411.09269.

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

pith.paper-citation-record.v1
2411.09269 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T20:54:29.602858Z

measured 43 of 43 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy21
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4eee4327-830a-429e-b464-516f744c3c18 · outbound

This paper cites o ffler, F., Feddoul, L., Algergawy, A., Samuel, S., Gaikwad, J., Kazem, A., and K \.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications o ffler, F., Feddoul, L., Algergawy, A., Samuel, S., Gaikwad, J., Kazem, A., and K \

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.339088Z

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=arxiv_source observed=2026-08-12T20:54:29.416165Z digest=sha256:6086d01ea7f82fcb4516c8be30eaeab17a32845271cb1a0db24bb6de697dd201

Observation a1762363-9a01-4c81-8add-1a29dc64159f · outbound

This paper cites GPT-4 Technical Report.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications GPT-4 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.421775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.421775Z digest=sha256:43ba2f3f470eeb8365c4a7e22a235058069abf8a31c500c858159c581cc7fd12

Observation 8db869d9-0226-466c-a558-db2c199cbb97 · outbound

This paper cites K., Koenig-ries, B., and Samuel, S.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications K., Koenig-ries, B., and Samuel, S

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.324574Z

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=arxiv_source observed=2026-08-12T20:54:29.426906Z digest=sha256:eac2bb0ce4f23cfab7f3f0401d482f0deea94f4472f5bc8eb985e6efed279747

Observation d29e2678-587f-4b43-85e6-2ead7ed47330 · outbound

This paper cites K., K \"o nig-Ries, B., Gaikwad, J., Gadelha, L., and Samuel, S.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications K., K \"o nig-Ries, B., Gaikwad, J., Gadelha, L., and Samuel, S

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.309420Z

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=arxiv_source observed=2026-08-12T20:54:29.431620Z digest=sha256:0782a7f79dd695abda702c660ef0938392d28bb9c391cd2e746c2526d5758409

Observation 4b730dbf-4a93-44b3-afc0-d7bd47412d92 · outbound

This paper cites Evaluating the method reproducibility of deep learning models in the biodiversity domain.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Evaluating the method reproducibility of deep learning models in the biodiversity domain

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T20:54:29.817466Z

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=arxiv_source observed=2026-08-12T20:54:29.436586Z digest=sha256:e879b466f37a36b2f934c5875a71ccad1aaadcd35fb92fd1ed50a853f1ad48e1

Observation 8dcfbd48-8a22-454f-9c96-e695ee595a48 · outbound

This paper cites A., Pescott, O.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications A., Pescott, O

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.295551Z

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=arxiv_source observed=2026-08-12T20:54:29.441331Z digest=sha256:1218100d641097b1e0356c46e2a36bfb499b495de92960dbb2029c372d9d9b0d

Observation 359433ba-1d63-4722-a44f-6e50c6225908 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.280639Z

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=arxiv_source observed=2026-08-12T20:54:29.446457Z digest=sha256:d286c8c6498d238556770ff02e275aebc09c9aa4b6926d2176b1d0a4864cde07

Observation 20c482c3-f7bd-4fb8-aeeb-077bab63f672 · outbound

This paper cites and Stodden, V.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications and Stodden, V

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.267164Z

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=arxiv_source observed=2026-08-12T20:54:29.450987Z digest=sha256:0e64c22433aeb045cfd910883bbe825974008f4cc01bbd1b97f877a26f1d2e9d

Observation 00f6530a-1d47-47ce-9674-3e85695685c0 · outbound

This paper cites Language Models are Few-Shot Learners.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Language Models are Few-Shot Learners

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.455201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.455201Z digest=sha256:5c6ba0785799c05a5a0da2ae5f787f30eee5012af073824c69035dd730774ef0

Observation 0135a8f0-4b42-471c-95e1-cabf0f99f55c · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.253616Z

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=arxiv_source observed=2026-08-12T20:54:29.459903Z digest=sha256:f6cfcf27604dc20fb04774586e9107ef37e3c6186c981ef9fe3a5b80b62fbc2e

Observation 6e55d81b-e786-4d78-b9bf-e2cc75f9b404 · outbound

This paper cites S., Ceder, G., Persson, K.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications S., Ceder, G., Persson, K

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.464541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.464541Z digest=sha256:676156641beb9601a8c9fe786ccf6cc7de9ae48b0e2d58028890b51aec9904f9

Observation 0a36f190-578a-4299-a030-9c7b1e481545 · outbound

This paper cites Structured information extraction from complex scientific text with fine-tuned large language models.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Structured information extraction from complex scientific text with fine-tuned large language models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.468932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.468932Z digest=sha256:981cfeb31ff9f16470d7b4c455731ad933dcc2a1dbcdfeeee26ea691cd360425

Observation 92e922b7-fe4b-4d0e-a6b5-d1c30b89dbd1 · outbound

This paper cites and Hamdy, M.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications and Hamdy, M

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.229282Z

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=arxiv_source observed=2026-08-12T20:54:29.473727Z digest=sha256:2829f1f6c20687cd7c47cd4d4709833c21a71e039516c6cfdc6102a044eca901

Observation 5c9e91b0-de4f-4824-8741-3e5264b636d7 · outbound

This paper cites S., Walker, C., Peterson, A.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications S., Walker, C., Peterson, A

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.216049Z

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=arxiv_source observed=2026-08-12T20:54:29.477884Z digest=sha256:8dc68ca65eac0669bdfa69698d2db6267064a266ae4b17a57349cca669c7ea6a

Observation 46f236fc-7c90-4afe-aa6a-8fa97e0f3f6e · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.202433Z

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=arxiv_source observed=2026-08-12T20:54:29.482174Z digest=sha256:c64beee53f99418e1f9190c8a82bce67c5607736d863107ef6707447fc50bae2

Observation 15a7c0dc-62d2-479b-96ce-0d97dc51838c · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.188648Z

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=arxiv_source observed=2026-08-12T20:54:29.486232Z digest=sha256:7f37d370d97f9a2f33099d94b3beeb7e4e9eb2b4865a78bb76c126f0c2581276

Observation e4820b80-9691-4481-9fa4-49fd0fe58016 · outbound

This paper cites Biodiversity and artificial intelligence, opportunities and recommendations report.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Biodiversity and artificial intelligence, opportunities and recommendations report

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.174139Z

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=arxiv_source observed=2026-08-12T20:54:29.490390Z digest=sha256:cbac49097a32d7b3c11605b03e133dfc08da9bdc463791cc268b8ecb3132e5b1

Observation a8cd5765-dfc7-40ea-8a49-f1b9bce9584b · outbound

This paper cites and Ellwood, E.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications and Ellwood, E

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.160140Z

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=arxiv_source observed=2026-08-12T20:54:29.494515Z digest=sha256:b58164443508dee8a7f4820ab9a91f3831085396459eae7662736a3cbdb81499

Observation 822a5def-3bb5-4260-b7eb-13fe0942a778 · outbound

This paper cites and Fox, M.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications and Fox, M

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.146343Z

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=arxiv_source observed=2026-08-12T20:54:29.498996Z digest=sha256:4b95209a4d8d196efb382e6e59261908b7ca629c2399c2b1c6ef74da9be28b2a

Observation f3a3c885-e564-42ae-9a0f-f453e313bd04 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 20

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unresolved
raw_fallback, observed 2026-08-12T20:54:30.132060Z

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=arxiv_source observed=2026-08-12T20:54:29.503611Z digest=sha256:fa6e684d81e57312b874d159e49129c3a32c4509548f8997b2dad039c8ee82ae

Observation c82d9f0a-2672-4f62-8e9e-37a7b4610a5f · outbound

This paper cites E., Shamsaliei, S., and Isdahl, R.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications E., Shamsaliei, S., and Isdahl, R

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.118151Z

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=arxiv_source observed=2026-08-12T20:54:29.508351Z digest=sha256:cb98ac4b6f646a0fb446fdb8cf238eedd0168ab734f81794bc0d8908f93b2954

Observation 129579ea-41df-4fb0-b0b5-aa38ffb6fb03 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.104009Z

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=arxiv_source observed=2026-08-12T20:54:29.512852Z digest=sha256:06d224efef548902e2e3d122b4881379132d9f79401a11b950577456b10d5ae5

Observation a7732734-5446-410e-a125-cb3c95113111 · outbound

This paper cites D., Gutierrez, C., Kirrane, S., Gayo, J.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications D., Gutierrez, C., Kirrane, S., Gayo, J

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.090092Z

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=arxiv_source observed=2026-08-12T20:54:29.517061Z digest=sha256:f83d91e31ccf9f5d206100036a51bbbc530ed7634f91293d71b10a9fefe10160

Observation 7012ef5c-c184-49eb-ab50-6f8a9d17ea28 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.076323Z

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=arxiv_source observed=2026-08-12T20:54:29.521359Z digest=sha256:4cc85431c84b7a5c33d2d5a398b5481923b97f5e30e87f736bc7573e7ab34948

Observation 08f6a994-7796-423e-bfdc-8bcd43a9e4ee · outbound

This paper cites K., Ahmed, W., Koenig-Ries, B., and Samuel, S.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications K., Ahmed, W., Koenig-Ries, B., and Samuel, S

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.061639Z

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=arxiv_source observed=2026-08-12T20:54:29.525506Z digest=sha256:b913f0a56dbc6d9ad24fb0b6b66f1bdc373efc1f988bd73e1e3ec5f44b4da61b

Observation 342f8a51-d074-4ccf-aab3-239ce85911ba · outbound

This paper cites K., Groom, Q., and Panda, R.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications K., Groom, Q., and Panda, R

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.047580Z

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=arxiv_source observed=2026-08-12T20:54:29.529721Z digest=sha256:27c09d918c6a5d511cc900db6ac0992756c803d2fa9b5858fc1c018869cdb26e

Observation 98a21050-4349-425b-bd48-a4542183ff4d · outbound

This paper cites From human experts to machines: An LLM supported approach to ontology and knowledge graph construction.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications From human experts to machines: An LLM supported approach to ontology and knowledge graph construction

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.533973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.533973Z digest=sha256:b4ed80bca83c31309250b604b9eaa16a7d39a1195a282b098234f9336bc84550

Observation 8511f579-ef6c-4e79-8c5b-b04095e2e85d · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.033820Z

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=arxiv_source observed=2026-08-12T20:54:29.538592Z digest=sha256:10339749d3676c0a5ae778642ea47221c9d8adba6dca56b2b26efab41f525a49

Observation de30a347-4001-4e7c-8b4e-f521842b71a2 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:30.019857Z

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=arxiv_source observed=2026-08-12T20:54:29.543008Z digest=sha256:4206111c808272f1cc5ee0cf78c244a32b9c39ba368644a5bea16f623fbdc594

Observation 72e516f7-c2d7-4bc3-9d8c-dc0d48f3fbf7 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.547275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.547275Z digest=sha256:38f3594058419078b25c45af5f0fc83662ba5a4a920230fc433719d3e70d5747

Observation 5f82d601-09d8-497a-a4f4-4ca0bce1543b · outbound

This paper cites L., Chiang, C.-C., and Shah, N.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications L., Chiang, C.-C., and Shah, N

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:30.006483Z

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=arxiv_source observed=2026-08-12T20:54:29.551788Z digest=sha256:3ea5b5f3d88358a19bdf7471358821de240b9d42e635818bbd152bc0e1a59c2b

Observation e80c1600-8c07-408e-b1f3-359bb8f2f8f8 · outbound

This paper cites K., Brunt, J.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications K., Brunt, J

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:29.992874Z

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=arxiv_source observed=2026-08-12T20:54:29.556030Z digest=sha256:d313a3d9f382c289b6872e6644f7a6a172b4c489102c3655454a82cd918d4b54

Observation 817506fe-e17c-4f2a-a023-50d997b5a922 · outbound

This paper cites S., Nguyen, A.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications S., Nguyen, A

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:29.979034Z

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=arxiv_source observed=2026-08-12T20:54:29.560243Z digest=sha256:79fa7e79c64c1e3ad1d5b6384e0b93298f5d75234578b1df5775938cce9d55da

Observation 5155ca8b-e87a-4510-b3a7-35abfdfb6529 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:29.965120Z

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=arxiv_source observed=2026-08-12T20:54:29.564395Z digest=sha256:d8991d443ba7a928e428d8888b27747e44f68b7947bc134f2d16a4c40db186d1

Observation c7a9283d-13ee-4094-8957-a5d14334c433 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:29.950846Z

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=arxiv_source observed=2026-08-12T20:54:29.568653Z digest=sha256:b743c211cf260ee38a3d80fe2510d6a1402f4e379c947649423cdfcb88b01d27

Observation dda9daea-6ad5-4454-a193-1a73254d76ce · outbound

This paper cites o ffler, F., and K \.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications o ffler, F., and K \

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:29.936950Z

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=arxiv_source observed=2026-08-12T20:54:29.572907Z digest=sha256:fe088aa4ceb8fd29424d7ba3a277109053073b3ee4465f68e7a062ffe669256d

Observation d618444c-69c5-4bf3-9f9d-5d3563a72632 · outbound

This paper cites and Mietchen, D.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications and Mietchen, D

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:29.922809Z

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=arxiv_source observed=2026-08-12T20:54:29.577111Z digest=sha256:efe5264d077fad9309be7ea3769952f1895f5534058aaaeb3463e62c2447a408

Observation 847b4393-6abe-4bd3-bb14-26b324078346 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:29.907260Z

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=arxiv_source observed=2026-08-12T20:54:29.581397Z digest=sha256:d5856c465d863247f29ea918a49b8a036f52bc017c7f5b873deac2bb04c1878b

Observation 6dabebed-3be0-4854-8c29-dff46eed29a3 · outbound

This paper cites G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., Ferret, J., Liu, P., Tafti, P., Friesen, A., Casbon, M., Ramos, S., Kumar, R., Lan, C.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., Ferret, J., Liu, P., Tafti, P., Friesen, A., Casbon, M., Ramos, S., Kumar, R., Lan, C

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:29.890694Z

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=arxiv_source observed=2026-08-12T20:54:29.585575Z digest=sha256:4be403c6b5a08bbda3eab96a31e0e4b4a96b183d37d390c24b33c3a4bfcff79f

Observation dd0e90ac-0740-4db5-844b-780dc672a574 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:29.876027Z

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=arxiv_source observed=2026-08-12T20:54:29.590237Z digest=sha256:b767b038413a9fb138708bed75ebd72b21eb852a33a80dbc3da1aca21d081cb4

Observation 2381f06b-dcdf-4e8d-a2ca-1fb80d0df32c · outbound

This paper cites B., Brunt, J.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications B., Brunt, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T20:54:29.861705Z

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=arxiv_source observed=2026-08-12T20:54:29.594455Z digest=sha256:f59a4b3afe33664068e699be683c1a601c6a75e73e31c12d9441bbb9c5ac0617

Observation 7063cd91-ede1-4116-922d-8546f2cdce48 · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T20:54:29.847849Z

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=arxiv_source observed=2026-08-12T20:54:29.598570Z digest=sha256:837133599ca14008217dca0f9c8d2a9bd0a69b42dd430c96c5c7fab4be700ac8

Observation c9ce4918-2def-4d2c-9f89-ea5df1b9c7fa · outbound

This paper cites an unresolved cited work.

Harnessing multiple LLMs for Information Retrieval: A case study on Deep Learning methodologies in Biodiversity publications Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T20:54:29.602858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T20:54:29.602858Z digest=sha256:95c6c5b8fe216eee86e3148c2c927098eeda0ba998c9d32a76fa3397afd8d0a0

Pith citing papers

No inbound Pith citation observations are available.