Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:44:40.215433Z
Paper Citation Record · LEDGER
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals
As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.15208.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
57 of 57 outbound references displayed
- verified exact3
- verified fuzzy23
- unresolved28
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation d04c0814-c265-4ff1-b6d1-7105117d0366 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 1
- Resolution
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Source-reported events for the cited work
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Observation 6c3b7d3a-9730-4e2b-95c4-6a255c74ae19 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 2
- Resolution
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Source-reported events for the cited work
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Observation e1b582c0-38aa-4208-8f78-3732f68c7d2e · outbound
This paper cites Hirai and F.
Reference 3
- Resolution
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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.
Observation 84f1accf-6e0f-485f-9f45-d705168bdeee · outbound
This paper cites Ziegler et al., ‘‘How to Measure Sustainability? An Open-Data Ap- proach’’,Sustainability, vol.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Ziegler et al., ‘‘How to Measure Sustainability? An Open-Data Ap- proach’’,Sustainability, vol
Reference 4
- Resolution
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Source-reported events for the cited work
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Observation e97a2ad5-bbcd-41d4-833a-9c9941479168 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 5
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 626ab4f9-b71f-4212-bbe3-5a6cb9e43ff4 · outbound
This paper cites La Fleur, ‘‘Using large language models to help train machine learning SDG classifiers’’, UN DESA, Working Paper 180, Nov.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals La Fleur, ‘‘Using large language models to help train machine learning SDG classifiers’’, UN DESA, Working Paper 180, Nov
Reference 6
- Resolution
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Source-reported events for the cited work
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Observation 46724535-ae6b-4a85-9bc2-bd4312d94a00 · outbound
This paper cites Nilashi, G.
Reference 7
- Resolution
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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.
Observation 87497ed3-f2f7-4f76-9c1d-7baa6b8cd3a8 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 8
- Resolution
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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.
Observation 750a0dbc-9ca2-4938-9734-c5dce4b1b52a · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b13edd2e-bdb3-4d61-bba0-3d728780202e · outbound
This paper cites Guisiano and R.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Guisiano and R
Reference 10
- Resolution
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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.
Observation 67909d0b-9392-4520-ba57-59ee6f0b8864 · outbound
This paper cites Heras-Saizarbitoria, L.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Heras-Saizarbitoria, L
Reference 11
- Resolution
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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.
Observation f6049b72-0764-47be-84d3-607b8e428e37 · outbound
This paper cites OSDG -- Open-Source Approach to Classify Text Data by UN Sustainable Development Goals (SDGs).
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals OSDG -- Open-Source Approach to Classify Text Data by UN Sustainable Development Goals (SDGs)
Reference 12
- Resolution
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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.
Observation 53745c0b-4ea5-40ec-a961-1765b2444362 · outbound
This paper cites V aswani et al., ‘‘Attention is all you need’’, inProc.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals V aswani et al., ‘‘Attention is all you need’’, inProc
Reference 13
- Resolution
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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.
Observation c90d12be-2efb-402f-8069-3cc94669a43a · outbound
This paper cites Devlin, M.-W.
Reference 14
- Resolution
- verified fuzzy
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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.
Observation 1191388b-1203-4b4a-8e07-20259c95a3a8 · outbound
This paper cites Brown et al., ‘‘Language Models are Few-Shot Learners’’, inAdvances in Neural Information Processing Systems, vol.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Brown et al., ‘‘Language Models are Few-Shot Learners’’, inAdvances in Neural Information Processing Systems, vol
Reference 15
- Resolution
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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.
Observation b156b5c1-8d6b-4023-b860-c72899008540 · outbound
This paper cites Joshi, L.
Reference 16
- Resolution
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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.
Observation 25d53b9a-a844-4f17-96e3-4f7280a7a4bf · outbound
This paper cites A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges
Reference 17
- Resolution
- verified exact
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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.
Observation c048ca64-2561-460b-a53f-3a4e7cec8004 · outbound
This paper cites Sovrano, M.
Reference 18
- Resolution
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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.
Observation ea7eabb7-85f4-4e8a-a23d-a55d64941ecb · outbound
This paper cites Schmidt and M.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Schmidt and M
Reference 19
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5d1563b-abc0-46e9-b704-9920bf62f5f6 · outbound
This paper cites Bolanos, A.
Reference 20
- Resolution
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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.
Observation ddd50eee-d6be-44e6-881d-ef3bb3ad43d2 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 21
- Resolution
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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.
Observation 6554ccee-9b87-4132-a605-9f19679b76b9 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 22
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Source-reported events for the cited work
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Observation 4bd51979-98d9-40e4-a229-4f6fa016681a · outbound
This paper cites Y ang, T.
Reference 23
- Resolution
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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.
Observation 78eaea1f-b243-47e9-b915-ddeb6d2469e7 · outbound
This paper cites Motta, F.
Reference 24
- Resolution
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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.
Observation 8a3bbe17-208c-4097-aaef-054bfb41306c · outbound
This paper cites Cascini, A.
Reference 25
- Resolution
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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.
Observation 8f1c0684-91eb-46b0-b79d-0f2833d75c42 · outbound
This paper cites Savelka and K.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Savelka and K
Reference 26
- Resolution
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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.
Observation 2dd957eb-03cc-445f-ad3d-4024a0a90c33 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 27
- Resolution
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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.
Observation cd659f12-50fd-44e2-a157-88bff1acf1cc · outbound
This paper cites Cadeddu, A.
Reference 28
- Resolution
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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.
Observation 008b9f8d-ada2-4d08-ae23-349d6224cdf9 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 29
- Resolution
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Source-reported events for the cited work
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Observation e7ad08c4-b705-4453-bcec-f87af72bd31e · outbound
This paper cites Pushing The Limit of LLM Capacity for Text Classification.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Pushing The Limit of LLM Capacity for Text Classification
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1662dc56-557f-4c99-9ce0-e5c79e9e3fc0 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 31
- Resolution
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Source-reported events for the cited work
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Observation 1059af5a-2ec3-42d6-ae3c-fdc42d8fcd4c · outbound
This paper cites Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
Reference 32
- Resolution
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Unavailable: canonical work link unavailable.
Observation c1459fbd-dc1d-40eb-8888-e6371b6ed52d · outbound
This paper cites MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce97d9ef-24a9-425c-b6c2-146feb0c6925 · outbound
This paper cites Cadeddu, A.
Reference 34
- Resolution
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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.
Observation e71f9d84-56ec-4f30-85d6-59fcc3b83501 · outbound
This paper cites Radford and K.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Radford and K
Reference 35
- Resolution
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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.
Observation c02c39b5-ab32-4694-91c4-f68153ce9cab · outbound
This paper cites Fields, K.
Reference 36
- Resolution
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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.
Observation ef412a23-b1b8-468c-add0-26d19c89cc09 · outbound
This paper cites an unresolved cited work.
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Reference 37
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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.
Observation 72c1887e-53ad-4775-b49f-5ef1df25f374 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
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- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddb3c3b8-70c0-4488-bd47-48dd52165e8e · outbound
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A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Gasparetto, M
Reference 39
- Resolution
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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.
Observation d3b7321e-a0e6-4a2e-b029-8995e803df6f · outbound
This paper cites Y ang, H.
Reference 40
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eab5515b-6bfd-474c-8050-14f61bc130a2 · outbound
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A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Bisong,Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners
Reference 41
- Resolution
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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.
Observation a24bc0d2-9606-42f3-ab09-9beec4fff656 · outbound
This paper cites Dettmers, A.
Reference 42
- Resolution
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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.
Observation d60ba7a6-2033-40fd-8eae-c6a07c95b68a · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 43
- Resolution
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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.
Observation b5fe3a78-3c5f-420b-a9ec-d0c13ca29e4f · outbound
This paper cites GPT-4 Technical Report.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals GPT-4 Technical Report
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a24545bf-714e-4d62-a5ff-7a76a659b127 · outbound
This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 669c1a21-d68e-47e3-9f56-4650a027d4e0 · outbound
This paper cites Ainslie, J.
Reference 46
- Resolution
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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.
Observation 97400bba-207a-4012-b4ef-0834a7862df9 · outbound
This paper cites Scaling Instruction-Finetuned Language Models.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Scaling Instruction-Finetuned Language Models
Reference 47
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f4dc4a7-5111-4138-bea9-60aa1eb34506 · outbound
This paper cites Raffel et al., ‘‘Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer’’,J.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Raffel et al., ‘‘Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer’’,J
Reference 48
- Resolution
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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.
Observation 182526fd-38bc-45e7-9f6d-d74d4e429df4 · outbound
This paper cites Mistral 7B.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Mistral 7B
Reference 49
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 691c7377-5ff1-42d9-bf04-2fcaa91f7bd1 · outbound
This paper cites Mixtral of Experts.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Mixtral of Experts
Reference 50
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cddada89-bd31-415c-87ce-0b7c10cbeebd · outbound
This paper cites Zephyr: Direct Distillation of LM Alignment.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Zephyr: Direct Distillation of LM Alignment
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aaaef0e0-7bf5-4996-9148-b8254546f991 · outbound
This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 96518f8c-c173-4eca-a2e4-6d0c18be8f6e · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 53
- Resolution
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- raw_fallback, observed 2026-08-15T19:44:40.863959Z
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.
Observation d75b4cda-50a4-4b0b-9b07-f1be791149a3 · outbound
This paper cites Language Models for Text Classification: Is In-Context Learning Enough?.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Language Models for Text Classification: Is In-Context Learning Enough?
Reference 54
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2117541-21df-4a9c-8c37-7b12e0694e2f · outbound
This paper cites Open, Closed, or Small Language Models for Text Classification?.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Open, Closed, or Small Language Models for Text Classification?
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:44:40.204377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56291963-6f27-4e29-9a54-b1f4063f8ee3 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 56
- Resolution
- unresolved
- raw_fallback, observed 2026-08-15T19:44:40.842804Z
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.
Observation 29c45efa-774c-4ee8-a325-a809e3f772d6 · outbound
This paper cites an unresolved cited work.
A Comparative Study of Task Adaptation Techniques of Large Language Models for Identifying Sustainable Development Goals Unresolved cited work
Reference 2007
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-15T19:44:40.825295Z
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.
Pith citing papers
No inbound Pith citation observations are available.