{"as_of":"2026-08-08T01:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bbf3db7e2137dd3f4441411e29124c51b59fdb02d846f6d03238ae4e4a50c572","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T01:00:08.211435Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2508.04063/citation-record","integrity":"/paper/2508.04063/integrity","json":"/paper/2508.04063/citation-record.json","paper":"/paper/2508.04063"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:10.070347Z","title":"Alikaniotis, H","venue":null,"work_id":"fd47a0ac-a34b-40ec-b84d-782d4d091f59","year":2016},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:06.631018Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:db395722a5dfdc341fdc9b21972df8da46d69d32d523077ec91acc8b77265279","observation_id":"a0c5a835-753e-4e4d-9070-9fc8a2993ce1","resolution":{"observed_at":"2026-08-06T01:00:10.134590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.988034Z","title":"Kumar, S","venue":null,"work_id":"ad6962fc-98c5-4ad7-b1a0-0cb3ff5d522b","year":2017},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:06.688317Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:dd196b57ca386717b3ac8f88d7a9134c99dadc23a533f626cc5d92d53cb9c298","observation_id":"df39e005-dcb3-4322-9673-141f6f76891c","resolution":{"observed_at":"2026-08-06T01:00:10.039487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/978-3-319-91947-8_3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:07:33.414567Z","title":null,"venue":"Lecture notes in computer science","work_id":"517eba5a-ef88-470f-b446-45a294e4f748","year":2018},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:06.787318Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:a6ecd1b18a66be7b17b80c39ccc75ac8c88528f9ab9f61b56d3469db2b8db219","observation_id":"3d34b4f0-bb54-4f56-bbd8-3af849e91efb","resolution":{"observed_at":"2026-08-06T01:00:08.513410Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1909.10166","last_updated":"2019-09-23T05:29:04Z","snapshot_observed_at":"2026-07-06T08:23:44.777844Z","submitted_at":"2019-09-23T05:29:04Z","title":"Automatic Short Answer Grading via Multiway Attention Networks","version":1},"cited_work":{"arxiv_id":"1909.10166","doi":null,"metadata_source":"pith","pith_arxiv_id":"1909.10166","snapshot_observed_at":"2026-08-06T01:00:09.005940Z","title":"Automatic Short Answer Grading via Multiway Attention Networks","venue":"cs.AI","work_id":"785778b2-03f7-4c78-a9cf-854ba70cd655","year":2019},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:06.873195Z"},"links":{"cited_paper":"/paper/1909.10166","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:f13d1e3c83a8d4a7def58985000a845df2283d14234102d33a20acf4593b0cb6","observation_id":"7be0912f-d1ec-45d9-b722-6b2560a91e57","resolution":{"observed_at":"2026-08-06T01:00:09.050562Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.834184Z","title":null,"venue":null,"work_id":"59cf82f0-bb8c-409b-b15b-a27494ef21ed","year":2019},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:06.944729Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:a06c9c33feb1b6af9da4c87d239c35d4d12171e7fb20ce26556ad311f132f7a0","observation_id":"22f883d6-6f4b-463c-ac44-fbc8a5430c98","resolution":{"observed_at":"2026-08-06T01:00:09.900095Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.14165","last_updated":"2020-07-22T19:47:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-05-28T17:29:03Z","title":"Language Models are Few-Shot Learners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.14165","snapshot_observed_at":"2026-08-06T01:00:06.970180Z","title":null,"venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:06.970180Z"},"links":{"cited_paper":"/paper/2005.14165","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:2919b75cdaff962c03b04a64fe062a5dbe3ce288a180e4004d18fa80f2553330","observation_id":"83a958bb-2311-4c0c-b971-7d8f548b2388","resolution":{"observed_at":"2026-08-06T01:00:06.970180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.18638","last_updated":"2023-05-29T22:05:29Z","snapshot_observed_at":"2026-07-06T15:35:07.850568Z","submitted_at":"2023-05-29T22:05:29Z","title":"Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model","version":1},"cited_work":{"arxiv_id":"2305.18638","doi":null,"metadata_source":"pith","pith_arxiv_id":"2305.18638","snapshot_observed_at":"2026-08-06T01:00:08.849863Z","title":"Short Answer Grading Using One-shot Prompting and Text Similarity Scoring Model","venue":"cs.CL","work_id":"3870488c-3203-4db2-9a6f-1f94f59c048d","year":2023},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.061214Z"},"links":{"cited_paper":"/paper/2305.18638","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:27c2bb34b5843c02d72b493cf92b7d6ea1804230ca672e000f514433a5a2ca02","observation_id":"f7bde157-5664-499a-9946-7c867f475af6","resolution":{"observed_at":"2026-08-06T01:00:08.901003Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.11508","last_updated":"2024-07-08T14:28:41Z","snapshot_observed_at":"2026-07-06T16:21:25.401345Z","submitted_at":"2023-09-09T22:25:56Z","title":"Towards LLM-based Autograding for Short Textual Answers","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.11508","snapshot_observed_at":"2026-08-06T01:00:07.152968Z","title":"Schneider, B","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.152968Z"},"links":{"cited_paper":"/paper/2309.11508","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:f95bbbd0b5c48c2c4cb17e494e2087ece00397ae9badb951646184afd30a7a8b","observation_id":"35c23a7c-f373-4d4a-b204-ebb68aed3651","resolution":{"observed_at":"2026-08-06T01:00:07.152968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.730537Z","title":"Ivanova, S","venue":null,"work_id":"72134691-378b-4e80-b654-eda7da3174b4","year":2024},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.233409Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:f4b0871f5ffef8ba0ee0f2dce41c0861f3ed427daf003db00d4a02bf4633200f","observation_id":"e65e1906-fec1-4e96-854e-e8a141a5bda9","resolution":{"observed_at":"2026-08-06T01:00:09.771150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.555771Z","title":"Chamieh, T","venue":null,"work_id":"5adfc28a-9d98-4d06-8731-e9e953e51341","year":2024},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.307768Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:b6b600476e1ac7e92d7cd8c8d3bb09e698eb4f299c13c91cd880d9ba746f56b0","observation_id":"bfbe2f26-3d4b-4d0b-a3df-451bcc5bd17d","resolution":{"observed_at":"2026-08-06T01:00:09.644275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01652","last_updated":"2022-02-08T20:26:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-09-03T17:55:52Z","title":"Finetuned Language Models Are Zero-Shot Learners","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.01652","snapshot_observed_at":"2026-08-06T01:00:07.368964Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.368964Z"},"links":{"cited_paper":"/paper/2109.01652","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:c4535b76ae41b37c7f5e25bc57a955cdaf11958a92b2686c7a40ae3fcae50dbf","observation_id":"19e1f95a-663d-45f3-9a53-d7f5abffa726","resolution":{"observed_at":"2026-08-06T01:00:07.368964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01335","last_updated":"2024-06-14T21:17:17Z","snapshot_observed_at":"2026-07-06T17:10:56.398607Z","submitted_at":"2024-01-02T18:53:13Z","title":"Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01335","snapshot_observed_at":"2026-08-06T01:00:07.432609Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.432609Z"},"links":{"cited_paper":"/paper/2401.01335","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:c420ea7637f835f797713137644f7360d590ca4f6a2437f67395a1cd8a6bd85d","observation_id":"6f50e9ee-1123-416d-a2b2-f17baa76ccb9","resolution":{"observed_at":"2026-08-06T01:00:07.432609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01697","last_updated":"2025-05-21T17:50:43Z","snapshot_observed_at":"2026-08-07T06:09:18.478555Z","submitted_at":"2025-02-03T00:12:40Z","title":"BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation","version":3},"cited_work":{"arxiv_id":"2502.01697","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.01697","snapshot_observed_at":"2026-08-06T01:00:08.633531Z","title":"BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation","venue":"cs.CL","work_id":"92e9177d-faa8-45c0-a5c4-342f83ce1265","year":2025},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.506842Z"},"links":{"cited_paper":"/paper/2502.01697","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:2081392f91cdffbb030fc5d7b89add6cddbbe90b05f8c53f973775b793660a9c","observation_id":"7d61fdd7-b584-44bd-9dde-c07de86117bf","resolution":{"observed_at":"2026-08-06T01:00:08.723033Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.401251Z","title":null,"venue":null,"work_id":"2d75e816-7073-4c05-b53e-6ca57724fb1c","year":null},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.564315Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:df29a64c75b7b692e855d2e44cf4a4f72aa0bc04ad0593406b5e1af2646ce3a0","observation_id":"24bd7421-74c4-4e22-9847-54d547144199","resolution":{"observed_at":"2026-08-06T01:00:09.480493Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.107615Z","title":null,"venue":null,"work_id":"c5ca2d2f-cfeb-42b3-b8ee-6079ef004d51","year":2025},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.692823Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:8a09cdde341160b8c68fa56c2aeb68c27562e6fdd9939df66598c3f5d43c4cd1","observation_id":"3dbdd05d-0c47-4205-b2e4-3465bf3e8337","resolution":{"observed_at":"2026-08-06T01:00:09.186333Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T01:00:07.801903Z","title":"Grattafiori, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.801903Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:caa8dcb10e0f3bef1b2b92d4e8e4c942a87f7609845abd09d58df0899704ca05","observation_id":"c2c90887-553d-430c-b514-4f2a8509babf","resolution":{"observed_at":"2026-08-06T01:00:07.801903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14314","last_updated":"2023-05-23T17:50:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-23T17:50:33Z","title":"QLoRA: Efficient Finetuning of Quantized LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14314","snapshot_observed_at":"2026-08-06T01:00:07.848792Z","title":"Dettmers, A","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.848792Z"},"links":{"cited_paper":"/paper/2305.14314","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:854c01ea8b8dcbc1e212ce9fafe0d88c7f44c029a6073bbe6629a6ebed0d8cac","observation_id":"9ffb6950-ba43-44ce-b971-fce1e2fc13f1","resolution":{"observed_at":"2026-08-06T01:00:07.848792Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.32473/flairs.v34i1.128576","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:08.311151Z","title":null,"venue":null,"work_id":"2a159779-86cb-46fd-8f3c-e6e5693207bb","year":2021},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:08.030412Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:e41c66aebc36300eb3e20a7bb3a41a01106d235d9285fee9c53be2a15c81eca6","observation_id":"41d86a4a-b932-43f9-9946-2b04dcb3ffac","resolution":{"observed_at":"2026-08-06T01:00:08.360775Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.02442","last_updated":"2024-10-14T13:57:29Z","snapshot_observed_at":"2026-07-06T18:56:57.369673Z","submitted_at":"2024-08-05T13:08:24Z","title":"Let Me Speak Freely? A Study on the Impact of Format Restrictions on Performance of Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.02442","snapshot_observed_at":"2026-08-06T01:00:08.134857Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:08.134857Z"},"links":{"cited_paper":"/paper/2408.02442","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:f105c66cc25962be5277b0ab78a1e28708ed17f56016d96cf00349390d868eac","observation_id":"4ee00241-94f4-4bc7-984a-0ddf453763c6","resolution":{"observed_at":"2026-08-06T01:00:08.134857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-06T01:00:08.211435Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:08.211435Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:73a9027bdf9358ccd33695a53b10cec69b26dbdf04c667eaa94e581780d000b0","observation_id":"6e699783-4a99-48ea-af69-8f0906e8b8cb","resolution":{"observed_at":"2026-08-06T01:00:08.211435Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T01:00:09.293759Z","title":null,"venue":null,"work_id":"bb2502df-1693-4a4e-9bcd-5afc2992e75b","year":2025},"citing_paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T01:00:07.626216Z"},"links":{"citing_paper":"/paper/2508.04063"},"observation_digest":"sha256:84267199822b4e1b07f11967ab8fb3cd5e1f38d5e9c5928ac49ba9c667c9cbcc","observation_id":"43f5bc42-4b47-45fa-9993-8db789591eec","resolution":{"observed_at":"2026-08-06T01:00:09.336616Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.04063","last_updated":"2025-08-06T03:52:55Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T01:00:06.073101Z","submitted_at":"2025-08-06T03:52:55Z","title":"Fine-tuning for Better Few Shot Prompting: An Empirical Comparison for Short Answer Grading"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":11,"verified_exact":5,"verified_fuzzy":4},"total_outbound_references":21},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2508.04063."}