Paper Citation Record · LEDGER

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach

As of 15 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2508.01480.

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

pith.paper-citation-record.v1
2508.01480 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:37:43.537604Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

17 of 17 outbound references displayed

verified exact3
verified fuzzy7
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fed56769-bf9e-43ea-be07-0ce0a9887438 · outbound

This paper cites write newline.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:42.373801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00b54761-52a3-4adb-bab1-0e935758207a · outbound

This paper cites GPT-4 Technical Report.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach GPT-4 Technical Report

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:42.427870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0155e99e-7bfc-4a62-91ff-5b9a6ffe724a · outbound

This paper cites Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Sparse Meets Dense: A Hybrid Approach to Enhance Scientific Document Retrieval

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:42.501958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719e8846-396a-4038-b3c8-50c941341cb3 · outbound

This paper cites Lee , author W.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Lee , author W

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:42.596400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af9ad4fe-bcf7-4981-bc07-08735745e41b · outbound

This paper cites Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:42.663453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 915e7d94-9a39-47c8-86c8-1ce62b57ab85 · outbound

This paper cites Reczko , title Electrolbert: Combining replaced token detection and sentence order prediction.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Reczko , title Electrolbert: Combining replaced token detection and sentence order prediction

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:45.839173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5b32dbe0-9342-48e5-82d7-739371ab5c5c · outbound

This paper cites an unresolved cited work.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:37:45.606631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 41fb935d-7ac8-4377-aab8-e86a0e174e43 · outbound

This paper cites Panou , author A.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Panou , author A

Reference 8

Resolution: verified exact; doi, observed 2026-08-06T05:37:43.731828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7de28d1b-f693-4a3e-becc-f645a42a69bd · outbound

This paper cites https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-70B-GGUF.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach https://huggingface.co/second-state/DeepSeek-R1-Distill-Llama-70B-GGUF

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:45.427510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 60e80e6c-f6b3-424c-8200-fcc421e83e74 · outbound

This paper cites Nentidis , author G.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Nentidis , author G

Reference 10

Resolution: verified exact; doi, observed 2026-08-06T05:37:45.145014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7e01d49e-980e-45ad-9677-0ae51fab4849 · outbound

This paper cites Nentidis , author G.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Nentidis , author G

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:44.957915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bcaa023-a210-4474-af59-59468b78bdfd · outbound

This paper cites Robertson , author H.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Robertson , author H

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:37:43.262041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e9fb5b-ff69-412e-8d25-f722d5d9cfb0 · outbound

This paper cites Robertson , author S.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Robertson , author S

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:44.875994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0355d7e-a9d5-4825-8d3a-cab2f9699730 · outbound

This paper cites Lavrenko , author W.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Lavrenko , author W

Reference 14

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-06T05:37:44.150283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation fd62e32f-ff35-4575-b117-6cadfbd6d91c · outbound

This paper cites https://github.com/ollama/ollama.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach https://github.com/ollama/ollama

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:44.698710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3a8e2ed7-6a94-4074-a9b8-a7de3b994f71 · outbound

This paper cites AI , title Lightning studio (lm studio) , howpublished https://lightning.ai/docs/studio/ , year 2023.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach AI , title Lightning studio (lm studio) , howpublished https://lightning.ai/docs/studio/ , year 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:44.551462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation eb6f54d6-0d62-4a84-a84a-8bc0d5700bf7 · outbound

This paper cites Malakasiotis , author I.

Harnessing Collective Intelligence of LLMs for Robust Biomedical QA: A Multi-Model Approach Malakasiotis , author I

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T05:37:44.405961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.