{"as_of":"2026-08-15T14:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:68b9421194c9915cc74e1f83f5b53ba04dadeca3b36ba836d3a63dda163d1788","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:32:16.438271Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T09:07:47.066701Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2604.06861","last_updated":"2026-04-08T09:22:30Z","snapshot_observed_at":"2026-08-15T08:36:01.897083Z","submitted_at":"2026-04-08T09:22:30Z","title":"REAgent: Requirement-Driven LLM Agents for Software Issue Resolution","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T17:56:32.201591Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2604.06861"},"observation_digest":"sha256:e7cfee33c6173c64122a88cca97b4a321f67cbe242f9b397cb3abbc7fc390328","observation_id":"fac030b3-d0f0-4da9-916f-e29c81d087e4","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2604.26892","last_updated":"2026-04-29T17:01:01Z","snapshot_observed_at":"2026-08-11T08:03:59.391608Z","submitted_at":"2026-04-29T17:01:01Z","title":"Hot Fixing in the Wild","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-07T11:41:18.071912Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2604.26892"},"observation_digest":"sha256:0e8a4e0ea55f9e30fddd11eb8fe44a82b77170e0b830e1df649b102d2a80c7ff","observation_id":"f144b45c-05e8-4d51-8b90-d7418d141e34","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2604.27283","last_updated":"2026-04-30T00:32:53Z","snapshot_observed_at":"2026-08-14T12:17:02.416441Z","submitted_at":"2026-04-30T00:32:53Z","title":"Learning When to Remember: Risk-Sensitive Contextual Bandits for Abstention-Aware Memory Retrieval in LLM-Based Coding Agents","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-07T08:03:11.421470Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2604.27283"},"observation_digest":"sha256:1a1476a62b53d8cb7c2c87b5e4aa5afa30c3d98104cd57f78858008551ff2548","observation_id":"64bb1dbf-6115-435d-862f-704a02a25a72","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2605.20456","last_updated":"2026-05-19T20:10:13Z","snapshot_observed_at":"2026-08-12T15:15:54.345070Z","submitted_at":"2026-05-19T20:10:13Z","title":"Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-21T06:51:24.566343Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2605.20456"},"observation_digest":"sha256:ebe93c99922f17b6bf6b4459ed5c5b271c83e9ac1125e64592d8879ee50f5913","observation_id":"354d0ec4-60ee-4ed3-87e0-e27964010f39","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2605.22526","last_updated":"2026-05-21T14:18:29Z","snapshot_observed_at":"2026-07-06T23:32:49.530788Z","submitted_at":"2026-05-21T14:18:29Z","title":"\"Refactoring Runaway\": Understanding and Mitigating Tangled Refactorings in Coding Agents for Issue Resolution","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-22T03:58:08.767022Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2605.22526"},"observation_digest":"sha256:08935400ee8da2aca4aa20c22dd3264ab5c71dd60f8ccbbff80e45d3d66bd9a3","observation_id":"d8df8c82-bc4b-4332-9153-5350e2d3c5ea","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2605.25356","last_updated":"2026-05-25T02:20:29Z","snapshot_observed_at":"2026-08-14T20:46:15.551266Z","submitted_at":"2026-05-25T02:20:29Z","title":"Names Are All You Need: Effective and Safe Regression Test Selection for Python","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-29T21:07:10.225387Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2605.25356"},"observation_digest":"sha256:726ae03a5473da730f7d6a7cf9991d66866286b7732d81cce0c4315000507b6e","observation_id":"569a8285-280b-44db-8df9-7dae1f2a70f6","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":"2512.22256","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-07T01:32:40.015165Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","venue":null,"work_id":"60cdf554-41c9-4bfc-a6b0-d5398b305e1e","year":2025},"citing_paper":{"arxiv_id":"2607.01929","last_updated":"2026-07-02T09:23:48Z","snapshot_observed_at":"2026-08-15T11:17:06.170089Z","submitted_at":"2026-07-02T09:23:48Z","title":"Beyond Textual Repository Exploration: Dual-Modal Structural Reasoning for Agentic Issue Resolution","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-03T09:04:47.717504Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2607.01929"},"observation_digest":"sha256:f1e9bd3c983205080248960688030792049a393793f5f23aecfd6e9ae631ec63","observation_id":"9eb7735c-b1a5-4d54-b97e-eab974877e2b","resolution":{"observed_at":"2026-08-07T01:32:40.015165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.22256","snapshot_observed_at":"2026-08-14T14:32:16.438271Z","title":"Agentic software issue resolution with large language models: A survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.13292","last_updated":"2026-08-13T14:25:50Z","snapshot_observed_at":"2026-08-15T13:16:12.238905Z","submitted_at":"2026-08-13T14:25:50Z","title":"Refine After Generation: Toward Correct and Concise Patches in LLM-based Program Repair","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:16.438271Z"},"links":{"cited_paper":"/paper/2512.22256","citing_paper":"/paper/2608.13292"},"observation_digest":"sha256:5b25bd69e3149fba57a8757cde636aa8e845579b830415dc2db9b99c38ce3c87","observation_id":"02de1283-2d4f-4b0e-b5f0-c5861a17db2e","resolution":{"observed_at":"2026-08-14T14:32:16.438271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2512.22256/citation-record","integrity":"/paper/2512.22256/integrity","json":"/paper/2512.22256/citation-record.json","paper":"/paper/2512.22256"},"outbound":[],"paper":{"arxiv_id":"2512.22256","last_updated":"2026-08-06T05:17:26Z","latest_version":2,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-14T15:50:30.139623Z","submitted_at":"2025-12-24T08:05:10Z","title":"Agentic Software Issue Resolution with Large Language Models: A Survey"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2512.22256."}