{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BGEC5ESPQOPTWIK6BDV4YQ62EZ","short_pith_number":"pith:BGEC5ESP","canonical_record":{"source":{"id":"2606.25842","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-24T13:55:45Z","cross_cats_sorted":[],"title_canon_sha256":"da707a9f6892ff447ba6d38efd8e61d1bbeaa838b05b5c0f34aa890f7be0cba9","abstract_canon_sha256":"d451a1f23b4a3f913f07b0bdd0fde1dbf1579e226dceb0761837c50c5ff99a6e"},"schema_version":"1.0"},"canonical_sha256":"09882e924f839f3b215e08ebcc43da267abbdee27c933737b5fe4eb78fae6958","source":{"kind":"arxiv","id":"2606.25842","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25842","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25842v1","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25842","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"pith_short_12","alias_value":"BGEC5ESPQOPT","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"pith_short_16","alias_value":"BGEC5ESPQOPTWIK6","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"pith_short_8","alias_value":"BGEC5ESP","created_at":"2026-06-25T01:18:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BGEC5ESPQOPTWIK6BDV4YQ62EZ","target":"record","payload":{"canonical_record":{"source":{"id":"2606.25842","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-24T13:55:45Z","cross_cats_sorted":[],"title_canon_sha256":"da707a9f6892ff447ba6d38efd8e61d1bbeaa838b05b5c0f34aa890f7be0cba9","abstract_canon_sha256":"d451a1f23b4a3f913f07b0bdd0fde1dbf1579e226dceb0761837c50c5ff99a6e"},"schema_version":"1.0"},"canonical_sha256":"09882e924f839f3b215e08ebcc43da267abbdee27c933737b5fe4eb78fae6958","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:40.913798Z","signature_b64":"ujnup58XAOJ67ocwQ8si6/XyA9/UH/a1aBZWsdDgDCTgQjHNil/k2oKWGREyWSYbyLyDc6olyO+6QnEFbu5hAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09882e924f839f3b215e08ebcc43da267abbdee27c933737b5fe4eb78fae6958","last_reissued_at":"2026-06-25T01:18:40.913370Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:40.913370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.25842","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":"2026-06-25T01:18:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwR1iLL5VSH4wpig3UxBdSkSLkm5QXIEJcoxEuIw4JlBHe+XzmxOa8Ny1wgtxgle5Fcc7YffqP9U55pDWWxSCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T17:04:49.925071Z"},"content_sha256":"63726f949874728c47b610f9634c44c01688d389cc0b454563161a3587eeaaf4","schema_version":"1.0","event_id":"sha256:63726f949874728c47b610f9634c44c01688d389cc0b454563161a3587eeaaf4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BGEC5ESPQOPTWIK6BDV4YQ62EZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Agnese Taluzzi, Chiara Plizzari, Matteo Matteucci, Riccardo Santambrogio, Simone Mentasti","submitted_at":"2026-06-24T13:55:45Z","abstract_excerpt":"Existing multi-modal large language models (MLLMs) face significant challenges in processing long video sequences due to strict input token limitations. As a result, current video understanding approaches, especially in egocentric settings characterized by complex dynamics, frequent state changes, and moving cameras, are forced to massively subsample frames. This leads to severe loss of temporal and contextual information, constraining their ability to perform fine-grained video reasoning. In this work, we introduce a framework for egocentric video question answering (VQA) that overcomes these"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25842","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/2606.25842/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":"2026-06-25T01:18:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1h4GEForkSQJN17RQS4CsUB9hvSb3/2wlI9TI5n54YAuicHD4gHL1DSm3K2WVqWeo8ACuaFKOVacvzdGeeoZCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-03T17:04:49.925457Z"},"content_sha256":"0ecd7ffa262645af41a8395fa41d4c32caca7d3d55a008caf2e3e0d6703b2ae9","schema_version":"1.0","event_id":"sha256:0ecd7ffa262645af41a8395fa41d4c32caca7d3d55a008caf2e3e0d6703b2ae9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ/bundle.json","state_url":"https://pith.science/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ/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":"2026-07-03T17:04:49Z","links":{"resolver":"https://pith.science/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ","bundle":"https://pith.science/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ/bundle.json","state":"https://pith.science/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BGEC5ESPQOPTWIK6BDV4YQ62EZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BGEC5ESPQOPTWIK6BDV4YQ62EZ","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":"d451a1f23b4a3f913f07b0bdd0fde1dbf1579e226dceb0761837c50c5ff99a6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-24T13:55:45Z","title_canon_sha256":"da707a9f6892ff447ba6d38efd8e61d1bbeaa838b05b5c0f34aa890f7be0cba9"},"schema_version":"1.0","source":{"id":"2606.25842","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.25842","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"arxiv_version","alias_value":"2606.25842v1","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25842","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"pith_short_12","alias_value":"BGEC5ESPQOPT","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"pith_short_16","alias_value":"BGEC5ESPQOPTWIK6","created_at":"2026-06-25T01:18:40Z"},{"alias_kind":"pith_short_8","alias_value":"BGEC5ESP","created_at":"2026-06-25T01:18:40Z"}],"graph_snapshots":[{"event_id":"sha256:0ecd7ffa262645af41a8395fa41d4c32caca7d3d55a008caf2e3e0d6703b2ae9","target":"graph","created_at":"2026-06-25T01:18:40Z","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/2606.25842/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing multi-modal large language models (MLLMs) face significant challenges in processing long video sequences due to strict input token limitations. As a result, current video understanding approaches, especially in egocentric settings characterized by complex dynamics, frequent state changes, and moving cameras, are forced to massively subsample frames. This leads to severe loss of temporal and contextual information, constraining their ability to perform fine-grained video reasoning. In this work, we introduce a framework for egocentric video question answering (VQA) that overcomes these","authors_text":"Agnese Taluzzi, Chiara Plizzari, Matteo Matteucci, Riccardo Santambrogio, Simone Mentasti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-24T13:55:45Z","title":"Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25842","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":"sha256:63726f949874728c47b610f9634c44c01688d389cc0b454563161a3587eeaaf4","target":"record","created_at":"2026-06-25T01:18:40Z","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":"d451a1f23b4a3f913f07b0bdd0fde1dbf1579e226dceb0761837c50c5ff99a6e","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-24T13:55:45Z","title_canon_sha256":"da707a9f6892ff447ba6d38efd8e61d1bbeaa838b05b5c0f34aa890f7be0cba9"},"schema_version":"1.0","source":{"id":"2606.25842","kind":"arxiv","version":1}},"canonical_sha256":"09882e924f839f3b215e08ebcc43da267abbdee27c933737b5fe4eb78fae6958","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09882e924f839f3b215e08ebcc43da267abbdee27c933737b5fe4eb78fae6958","first_computed_at":"2026-06-25T01:18:40.913370Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T01:18:40.913370Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ujnup58XAOJ67ocwQ8si6/XyA9/UH/a1aBZWsdDgDCTgQjHNil/k2oKWGREyWSYbyLyDc6olyO+6QnEFbu5hAA==","signature_status":"signed_v1","signed_at":"2026-06-25T01:18:40.913798Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.25842","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:63726f949874728c47b610f9634c44c01688d389cc0b454563161a3587eeaaf4","sha256:0ecd7ffa262645af41a8395fa41d4c32caca7d3d55a008caf2e3e0d6703b2ae9"],"state_sha256":"dbcbfdb6221df1ff5d2f643920dbfa53508bb31685be805064ab89d57b0d8f3e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SJKCLQTJq4BBxm+h7UIwtgOXJ8hACTtM301AfDhtaZQS1xZQy2Hrv3yIUn6w5D8aik/rCI1DFx1pp9ffrL4RBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-03T17:04:49.927395Z","bundle_sha256":"1c069682c1fc9851c57c656c3badff1cac2d8316b71f2ac10c8d6c9d94b6739f"}}