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Paper Citation Record · LEDGER

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field

As of 9 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2607.17902.

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

pith.paper-citation-record.v1
2607.17902 v1

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:41:46.302947Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

57 of 57 outbound references displayed

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  • verified fuzzy0
  • unresolved56
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 2a57c904-8bab-4dd5-b9c8-909b909ebcf7 · outbound

This paper cites Salatino, T.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Salatino, T

Reference 1

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Observation 79829fdc-3ec4-4cd2-ad9f-1306b918fcaa · outbound

This paper cites Dunne, K.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Dunne, K

Reference 2

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Observation c3c742fc-5d30-4f7e-87d6-b344477da4d0 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-01T16:41:41.969907Z digest=sha256:d44b9a39ac043f4fda7f8a61861086c9b37346c1ae6fca57f0c3427d89d451e8

Observation 8799cf56-6a1b-40df-a5b0-c02534a34013 · outbound

This paper cites Rous, Major update to acm’s computing classification system, Communications of the ACM 55 (2012) 12–12.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Rous, Major update to acm’s computing classification system, Communications of the ACM 55 (2012) 12–12

Reference 4

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source=pdf_text observed=2026-08-01T16:41:42.100197Z digest=sha256:83ed5c7a1e5f58cc72b24e1c59b423a3038e3ee9b51a03062f1cbbba19182512

Observation 08f7dc32-501c-4084-bcac-c3a6da6021af · outbound

This paper cites Palumbo, D.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Palumbo, D

Reference 5

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Observation cb9bd3e9-4967-429b-899e-abefe9819091 · outbound

This paper cites Cadeddu, A.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Cadeddu, A

Reference 6

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Observation ff7b738e-8d21-479e-b93d-7c165664a251 · outbound

This paper cites Gusenbauer, N.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Gusenbauer, N

Reference 7

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Observation a55441cc-690e-4592-a824-4b2960253a8c · outbound

This paper cites Meloni, S.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Meloni, S

Reference 8

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Observation f0a7ba26-dc32-4767-8743-007e05236ac5 · outbound

This paper cites Angioni, A.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Angioni, A

Reference 9

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Observation 53595b2f-c48f-4245-874d-2eb0008d0496 · outbound

This paper cites Osborne, E.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Osborne, E

Reference 10

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Observation 2c366bfe-38e3-4eca-a45c-b7b53e110ea3 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 11

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Observation 8e1d1745-5ff3-4b51-a4e2-446d995ad560 · outbound

This paper cites Osborne, E.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Osborne, E

Reference 12

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Observation ed95a12f-2ccd-40c6-bdfc-052a0a4b3537 · outbound

This paper cites Sanderson, B.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Sanderson, B

Reference 13

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Observation f9a831db-2e7c-4461-9fed-616213875f00 · outbound

This paper cites Babaei Giglou, J.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Babaei Giglou, J

Reference 14

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Observation 016a22ec-e455-43a1-98d8-5966456e46b7 · outbound

This paper cites Aggarwal, A.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Aggarwal, A

Reference 15

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Observation da2d958a-a8d0-477a-a342-d34a5a561c03 · outbound

This paper cites Ontology Generation using Large Language Models.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Ontology Generation using Large Language Models

Reference 16

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Observation a8cf2596-8f0c-4b43-b41f-17d69a88a042 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 17

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Observation 4c171335-c719-4768-a059-5f8e7432730a · outbound

This paper cites Mangrulkar, S.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Mangrulkar, S

Reference 18

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Observation d1bffcdc-6021-4836-8e2a-69ef3320667a · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 19

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Observation 8493b4a8-e928-4bec-a278-6c20e4780567 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 20

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Observation 50d8aa79-3f2e-4902-9dfe-013d075efe2b · outbound

This paper cites Ashburner, C.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Ashburner, C

Reference 21

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Observation bfabc484-d018-4602-abc8-7aaaae467615 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 22

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Observation 50a6a78f-016b-46d0-8920-77486abd6a24 · outbound

This paper cites Smith, Physics subject headings (physh), KO KNOWLEDGE ORGANIZATION 47 (2020) 257–266.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Smith, Physics subject headings (physh), KO KNOWLEDGE ORGANIZATION 47 (2020) 257–266

Reference 23

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Observation 94c5009f-12cd-419d-b3ff-e4c3e8d7da18 · outbound

This paper cites Chang, J.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Chang, J

Reference 24

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Observation 11341365-fa31-451c-a5fc-4995d445b48d · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 25

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Observation eb848879-d78c-4076-901e-123d2561b820 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 26

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Observation 210c8c5e-bb7a-47fa-8d24-f4d4aeb6d5f9 · outbound

This paper cites Maedche, S.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Maedche, S

Reference 27

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Observation f30abc40-fede-4724-9e1f-ab6f3f321d89 · outbound

This paper cites Cimiano, J.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Cimiano, J

Reference 28

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Observation c88c605d-43cf-4887-927c-df2cac70e69e · outbound

This paper cites Velardi, S.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Velardi, S

Reference 29

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Observation 7924ba72-5b7b-44ea-b674-5ccbd6efca59 · outbound

This paper cites Constructing Taxonomies from Pretrained Language Models.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Constructing Taxonomies from Pretrained Language Models

Reference 30

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Observation 60b57c2f-6f44-4b8d-884c-af6d2465d0bb · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 31

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Observation 7566a7e6-1374-4511-a53d-e238df4acd30 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 32

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Observation 73723239-9868-403b-8bc4-3b6f91d10a26 · outbound

This paper cites Fathallah, A.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Fathallah, A

Reference 33

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Observation c82b5949-a76e-4bcb-87b2-421df3eb035e · outbound

This paper cites LLMs4Life: Large Language Models for Ontology Learning in Life Sciences.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field LLMs4Life: Large Language Models for Ontology Learning in Life Sciences

Reference 34

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Observation 89edd360-be87-4294-add5-79952203be0d · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 35

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Observation 0e1e9063-b4c4-4e37-896f-a1b2b32b00df · outbound

This paper cites Tsaneva, D.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Tsaneva, D

Reference 36

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Observation f2117924-61a2-4484-a05f-57281ab458f2 · outbound

This paper cites Are Large Language Models a Good Replacement of Taxonomies?.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Are Large Language Models a Good Replacement of Taxonomies?

Reference 37

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Observation 35007d06-f2a0-46f5-80af-70ee75202d49 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 38

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Observation b14689ec-72c3-46e0-8898-8d4c351aa234 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 39

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Observation eb0bc533-3102-4206-b717-37d76eef3a74 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 40

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Observation 5405b154-576c-416e-9c73-2e09a12103be · outbound

This paper cites Osborne, E.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Osborne, E

Reference 41

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Observation 6d1fe3c4-7f52-4fa9-910e-aabb7d6f36ef · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 42

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Observation 51af9065-119e-4741-9eb5-aff12669ec6c · outbound

This paper cites Buscaldi, D.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Buscaldi, D

Reference 43

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Observation fc008cdd-1232-495c-b265-0fa9a2d6a603 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 44

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Observation cd05c4a6-d0ac-47d9-a44c-4e70d84bf9ac · outbound

This paper cites Bolanos, A.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Bolanos, A

Reference 45

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Observation 069be0d8-a895-4bb5-a601-8a6756a9e620 · outbound

This paper cites Mistral 7B.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Mistral 7B

Reference 46

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Observation c24974d2-116d-428b-aa18-9d1a2e3e5b49 · outbound

This paper cites URL: https://github.com/meta-llama/llama3/blob/main/ MODEL_CARD.md.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field URL: https://github.com/meta-llama/llama3/blob/main/ MODEL_CARD.md

Reference 47

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Observation cd98169d-0bda-4633-8950-cb3f09f961f3 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Gemma: Open Models Based on Gemini Research and Technology

Reference 48

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source=pdf_text observed=2026-08-01T16:41:45.864733Z digest=sha256:adf8b2f11c8a5ff23f6f270388923ecd2575c7aad84e7c939c0cbb524fd35cb3

Observation 629779e8-b61c-4eae-a568-a3c7867cdb6c · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 49

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source=pdf_text observed=2026-08-01T16:41:45.904941Z digest=sha256:18f209173ef979f5e0267243715e1c0ca1ab9955a1306d4080baa5f51b89f205

Observation 8a6c883a-851c-4002-99fe-97b941c98f1f · outbound

This paper cites Han, Unsloth/zephyr-sft·hugging face, 2024.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Han, Unsloth/zephyr-sft·hugging face, 2024

Reference 50

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source=pdf_text observed=2026-08-01T16:41:45.984388Z digest=sha256:fe61fa5f1aa783791a6d5af6b921f82a9678b3699e216f441948a7e26e598c98

Observation 8efc3386-602e-4671-ba2c-c56da0ca220e · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field LoRA: Low-Rank Adaptation of Large Language Models

Reference 51

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Observation ca8f713c-9b48-4028-af79-8e3f81ef99c1 · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-01T16:41:46.111687Z digest=sha256:6baccea9253f0da3ebf5f5d898ad3858d0e803fdefe357f23b4d9714c58f85f0

Observation 019c1096-b4fe-4827-ae1b-a52dd2dfbd27 · outbound

This paper cites Kojima, S.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Kojima, S

Reference 53

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Observation 454d80d0-fa12-4435-9d9d-7cdd8e02ecc8 · outbound

This paper cites Aggarwal, A.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Aggarwal, A

Reference 54

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source=pdf_text observed=2026-08-01T16:41:46.221360Z digest=sha256:5f9cee9a6ef4c479180c1d58b547b7503bf799a99c6cd7b0393a7124353ee316

Observation 8f383395-3c5a-4bad-9bc4-392126abad8c · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-01T16:41:46.259101Z digest=sha256:ed3bfa400716c88bf280a450e6b02593c2b6d5f21fb3e5198e91d1f706095f8e

Observation b7f4830f-f0c9-4e60-a0e2-26de434509ec · outbound

This paper cites an unresolved cited work.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-01T16:41:46.302947Z digest=sha256:0c4dcc19f8accfaa34d509b35dbabe57cf0f6a426e2e9049b56bc9c67aa07b86

Observation 6c5b6eb5-6a16-49a5-91f8-1953ec95a188 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field Large Language Models are Zero-Shot Reasoners

Reference 2023

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source=pdf_text observed=2026-08-01T16:41:46.178672Z digest=sha256:010b82f185abab234cc3144b961d092482f1175fb94736fc08825d5cefd95b0c

Pith citing papers

No inbound Pith citation observations are available.