{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:UTVJ22VF25P25U22MRZNXRX2AA","short_pith_number":"pith:UTVJ22VF","canonical_record":{"source":{"id":"2605.27885","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T03:08:12Z","cross_cats_sorted":[],"title_canon_sha256":"19d558850c23ef7ba660ed97770eadf0781603391c5cee1a0fafa48b4b66a5f7","abstract_canon_sha256":"02592911cb3d352ffd467925a8b6fe408e8cf38efcc1a9d28585e9d79d0e1689"},"schema_version":"1.0"},"canonical_sha256":"a4ea9d6aa5d75faed35a6472dbc6fa0037b9ba8d4d92e3f86872a762ef0ead09","source":{"kind":"arxiv","id":"2605.27885","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27885","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27885v1","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27885","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_12","alias_value":"UTVJ22VF25P2","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_16","alias_value":"UTVJ22VF25P25U22","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_8","alias_value":"UTVJ22VF","created_at":"2026-05-28T01:04:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:UTVJ22VF25P25U22MRZNXRX2AA","target":"record","payload":{"canonical_record":{"source":{"id":"2605.27885","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T03:08:12Z","cross_cats_sorted":[],"title_canon_sha256":"19d558850c23ef7ba660ed97770eadf0781603391c5cee1a0fafa48b4b66a5f7","abstract_canon_sha256":"02592911cb3d352ffd467925a8b6fe408e8cf38efcc1a9d28585e9d79d0e1689"},"schema_version":"1.0"},"canonical_sha256":"a4ea9d6aa5d75faed35a6472dbc6fa0037b9ba8d4d92e3f86872a762ef0ead09","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-28T01:04:51.234960Z","signature_b64":"FPvqiW9wrDOnWR5asPnj9+EozYL2oEwHVeQoCYLE9SkK2gNpPVtAMi26pNSfzbK3YwS3AzOWqS7X87IMl2aNCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a4ea9d6aa5d75faed35a6472dbc6fa0037b9ba8d4d92e3f86872a762ef0ead09","last_reissued_at":"2026-05-28T01:04:51.234572Z","signature_status":"signed_v1","first_computed_at":"2026-05-28T01:04:51.234572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.27885","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-28T01:04:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/QsbbVTuxGaKz1stBlvZ+zwvcePJYxTrsxRz6sbCVeWsJ12UQN24IxrsS76eSMn2nnfrz0c+Wz2CSC6zNM82Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T06:33:01.254362Z"},"content_sha256":"1f39ac2174fc2da8dfffa9a193f47c6aa4932b5fcd256b8131ea0a2b653f23a4","schema_version":"1.0","event_id":"sha256:1f39ac2174fc2da8dfffa9a193f47c6aa4932b5fcd256b8131ea0a2b653f23a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:UTVJ22VF25P25U22MRZNXRX2AA","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Reflective Dialogue between Teacher and Solver Agents for Video Question Answering","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Takuya Murakawa, Toru Tamaki","submitted_at":"2026-05-27T03:08:12Z","abstract_excerpt":"Various approaches have been proposed to adapt Vision-Language Models (VLMs) to specialized domains for Video Question Answering, including fine-tuning and in-context learning. However, acquiring task-specific knowledge at the inference phase from only a small labeled support set without fine-tuning remains a challenge. In this paper, we propose a method that achieves adaptation solely through inference-time context injection. Our method first constructs a Reflective Dialogue (RD) -- a multi-turn conversation between two agents, in which Teacher poses each support question and delivers correct"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27885","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2605.27885/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-28T01:04:51Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8DNvGxmX3uuRN2VsVA7VvhyKH6XgDgQYd7uPTjn3CCTpcAK0f2fu/8eNbr74iWoEyvb4wFJfPsEz0mxeZTRKAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T06:33:01.254749Z"},"content_sha256":"747e56c2c07ecf125587f24b99fa6cd1c6c1af6d52b0bb67233ce721d989beb9","schema_version":"1.0","event_id":"sha256:747e56c2c07ecf125587f24b99fa6cd1c6c1af6d52b0bb67233ce721d989beb9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UTVJ22VF25P25U22MRZNXRX2AA/bundle.json","state_url":"https://pith.science/pith/UTVJ22VF25P25U22MRZNXRX2AA/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UTVJ22VF25P25U22MRZNXRX2AA/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-03T06:33:01Z","links":{"resolver":"https://pith.science/pith/UTVJ22VF25P25U22MRZNXRX2AA","bundle":"https://pith.science/pith/UTVJ22VF25P25U22MRZNXRX2AA/bundle.json","state":"https://pith.science/pith/UTVJ22VF25P25U22MRZNXRX2AA/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UTVJ22VF25P25U22MRZNXRX2AA/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:UTVJ22VF25P25U22MRZNXRX2AA","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"02592911cb3d352ffd467925a8b6fe408e8cf38efcc1a9d28585e9d79d0e1689","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T03:08:12Z","title_canon_sha256":"19d558850c23ef7ba660ed97770eadf0781603391c5cee1a0fafa48b4b66a5f7"},"schema_version":"1.0","source":{"id":"2605.27885","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.27885","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"arxiv_version","alias_value":"2605.27885v1","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.27885","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_12","alias_value":"UTVJ22VF25P2","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_16","alias_value":"UTVJ22VF25P25U22","created_at":"2026-05-28T01:04:51Z"},{"alias_kind":"pith_short_8","alias_value":"UTVJ22VF","created_at":"2026-05-28T01:04:51Z"}],"graph_snapshots":[{"event_id":"sha256:747e56c2c07ecf125587f24b99fa6cd1c6c1af6d52b0bb67233ce721d989beb9","target":"graph","created_at":"2026-05-28T01:04:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.27885/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Various approaches have been proposed to adapt Vision-Language Models (VLMs) to specialized domains for Video Question Answering, including fine-tuning and in-context learning. However, acquiring task-specific knowledge at the inference phase from only a small labeled support set without fine-tuning remains a challenge. In this paper, we propose a method that achieves adaptation solely through inference-time context injection. Our method first constructs a Reflective Dialogue (RD) -- a multi-turn conversation between two agents, in which Teacher poses each support question and delivers correct","authors_text":"Takuya Murakawa, Toru Tamaki","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T03:08:12Z","title":"Reflective Dialogue between Teacher and Solver Agents for Video Question Answering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.27885","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1f39ac2174fc2da8dfffa9a193f47c6aa4932b5fcd256b8131ea0a2b653f23a4","target":"record","created_at":"2026-05-28T01:04:51Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"02592911cb3d352ffd467925a8b6fe408e8cf38efcc1a9d28585e9d79d0e1689","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-27T03:08:12Z","title_canon_sha256":"19d558850c23ef7ba660ed97770eadf0781603391c5cee1a0fafa48b4b66a5f7"},"schema_version":"1.0","source":{"id":"2605.27885","kind":"arxiv","version":1}},"canonical_sha256":"a4ea9d6aa5d75faed35a6472dbc6fa0037b9ba8d4d92e3f86872a762ef0ead09","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a4ea9d6aa5d75faed35a6472dbc6fa0037b9ba8d4d92e3f86872a762ef0ead09","first_computed_at":"2026-05-28T01:04:51.234572Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:04:51.234572Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FPvqiW9wrDOnWR5asPnj9+EozYL2oEwHVeQoCYLE9SkK2gNpPVtAMi26pNSfzbK3YwS3AzOWqS7X87IMl2aNCA==","signature_status":"signed_v1","signed_at":"2026-05-28T01:04:51.234960Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.27885","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1f39ac2174fc2da8dfffa9a193f47c6aa4932b5fcd256b8131ea0a2b653f23a4","sha256:747e56c2c07ecf125587f24b99fa6cd1c6c1af6d52b0bb67233ce721d989beb9"],"state_sha256":"8871bc6c30878ec72e4880e3d4b9aaea357a8e8a26f76e6e8df19e1f4d96e7a8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JrRpWDlNRxIIgBO1djgz6T/UbZzs8/zNNR3zf8JjvhHAdM5Ge45YrKM0IeYpc0y/jXrBX6TiZrfZIQDm+pDVBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T06:33:01.256843Z","bundle_sha256":"f7d4080690f56b75a0799cd22ab4c2fa47c58a9b71d4008e9b404299805f3c9e"}}