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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 22 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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.416165Z digest=sha256:0fb2ecee6f6ca28cde3efdd33590b2b548abed2df11556006a4a34d9110c3990

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:ae58dd6cabcf87b52b40ce0a09b9ee5b2fc13548743eb276ff00248b926179f7

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.426906Z digest=sha256:b53c84d0ee1b76cf42d2a5f5aba7b64e7be9e27b45c0afb2a63d91cc72e5cbb2

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.431620Z digest=sha256:e1c1f606fa736d9ffd27c3b1192449c82481eb43db97c4ef785cf38211ebb933

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.436586Z digest=sha256:91d21e86bc039f406257d5dbf3e9d2959d9fbdf25c4e01b3c049175854fa6355

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.441331Z digest=sha256:342e879b8002ca0bd4ba548ee41653a2e78a3a2cdc9c6cda69335817981178e2

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.446457Z digest=sha256:44378c655ffdcf77e253fa87948c8c4e5710484866cff9f63f2795e40fa3b05a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.450987Z digest=sha256:6c56138db636844437b3097790b96b8daa695835737cb9ab1216b4f12c09a6ce

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=sha256:55a65b2788d7ae761d5a6f434d5fe0fb6597ffa9439862d8d1a5cfd59a64be7b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.459903Z digest=sha256:2e911b6251c9a3cbc9393dae93077c7ae6e07f2e12c31a16f0066e5a70b57957

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

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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=sha256:6d0cea8fa3ee5ff15f5a27345f30290269733a8c44a36c6bb8fa45cc2404f319

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=sha256:7e3613d50e2275787e8274a6efdb84ef5e801b53ff909261e1fdd72398a97c8e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.473727Z digest=sha256:5bacb7c196bca6ea4f0facffa91e207a9f21b49187515a884b76e901b211c395

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.477884Z digest=sha256:3fda8c064546b2a4b4d25be2e7ea0293bfc2b49f97c297453197f15af0dec03a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.482174Z digest=sha256:3159209dc2306855bdb25e7a7470602023010775d9dc3528a264af0a071ce107

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.486232Z digest=sha256:f5c554d1acc40e88a4c025c03b98f853a7dfd9556d575841b6bd313722d32292

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.490390Z digest=sha256:72b0f0941f69957a22729a1a93a7eeb358922a8bd3f940c5cd847060d34185ac

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.494515Z digest=sha256:9d9e547fbfed6c0fca6839b707ee2946aa3aa5bcc1b0494355ed5e550f560b51

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.498996Z digest=sha256:59f5224a8a9a8fe0f5968ad7310b10471aa76eb39ea0bdc7ef3dfbb0de378ff2

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

Resolution
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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.503611Z digest=sha256:d88a89e7a0b650bc6ab3a234028fade374ad5f513eb669ac45ac0b227a479d56

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.508351Z digest=sha256:77e37ca05921bfa8fd797eef0e751df95ea07ebf6e7949eabefc84ca71d7d9af

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.512852Z digest=sha256:ce1b25e36a43f9439ecacfa5e2175fbf5a8e70dedc7f185c6b0224e85d963ca8

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.517061Z digest=sha256:e35fbbee2e8f6502eaf6f6f4ec1fff26388b241d3ad3abc0efda7d21320465c0

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.521359Z digest=sha256:0d05545a9b7ac95ea38658757b68e96500c66fc12d969e5eae5aad6331516a41

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.525506Z digest=sha256:1fb85a5570a4e7bfbea6056ac352e09d81076b64d6a4aec73935765c8528ab90

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.529721Z digest=sha256:0b4fa8baaf973f3febe09888c6ef152af2dbaced0d73b40f056ec3b3d44c79db

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=sha256:2b9eff5acb4bae9601c060788f94b62c810606bc261281d0f2382ba3f6b684bc

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.538592Z digest=sha256:2a14bef47f35aeab703cf5b6d1f9ff1258226e1f2b19c8501ef657900202ca8d

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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.543008Z digest=sha256:23fdf0be8233ebcfd5bff3546ff284c50db6f8ffa75c898fae04cabea46a0cac

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

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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=sha256:21cc2a0633d27a931948ee095d584138a719999cba955d25997a0d0af55d62ab

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.551788Z digest=sha256:78cc905061155d3dfae9a38a10bb6fea4ab4e493b797682bb54e1c17a616833e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.556030Z digest=sha256:7380b587f56a197f3408aa6021f5ba3016b31b43b924f207552aecb2c38d3c22

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.560243Z digest=sha256:6647171257bd117fd74b4fece401221da1a383666b9f34a9b8231ca505a571bf

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.564395Z digest=sha256:26512e3377f2054cb7961d4d804dfb8624bc900225436e8fd8cc844f689688ab

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.568653Z digest=sha256:7d8601a66d8bc9a2546ce28242bb4446fde85532fb9e424cc79f40b30b602001

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.572907Z digest=sha256:59337db10858078d7ccab027b6140ffd8706c5dc574f5256fd56a87420170bd1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.577111Z digest=sha256:62014582b1475636c798ae25916b7199d3477a87956d8a6edbac3f2d9e8f0ab6

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.581397Z digest=sha256:8723b6e8757780d6482599d7338f6da3cf4491ccba3e452a05cd0a74b473af08

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.585575Z digest=sha256:c04daf977ec821b88980b70f03cd418522ce85988e9585bc1d0eaaa5971fdde0

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.590237Z digest=sha256:430a6f247b34867619c19c13f441b3398ff3a99de83f32c04ad0d97c6af01f86

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.594455Z digest=sha256:d4866401e98ca33fd94f242ecbd0789e794050e1b42fb0c158d158d4ace86d9d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-12T20:54:29.598570Z digest=sha256:8b98e1f0d68d491a4657e8cf5972a5ccdc0c10305caad630463f0547fedc50d4

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=sha256:2159ef6a31b40c4a30a7f201fe40c186d2d8d42635b76ee418ccb7c354b164be

Pith citing papers

No inbound Pith citation observations are available.