{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:RYODIUAXBBZWNGGQZJSL2EZP33","short_pith_number":"pith:RYODIUAX","canonical_record":{"source":{"id":"2607.10640","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T08:12:45Z","cross_cats_sorted":[],"title_canon_sha256":"ec5bef62a6e56987836320a4b1d43091cc40eb6debbfeb7ac38796add5b8074f","abstract_canon_sha256":"315b8e434d6722ff72eddace8f1d3ff54db768bb1f8c4957f1732a9ba658418a"},"schema_version":"1.0"},"canonical_sha256":"8e1c34501708736698d0ca64bd132fdeda3441c3874080e5cdad97fd9afba74d","source":{"kind":"arxiv","id":"2607.10640","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10640","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10640v1","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10640","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"RYODIUAXBBZW","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"RYODIUAXBBZWNGGQ","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"RYODIUAX","created_at":"2026-07-14T01:21:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:RYODIUAXBBZWNGGQZJSL2EZP33","target":"record","payload":{"canonical_record":{"source":{"id":"2607.10640","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T08:12:45Z","cross_cats_sorted":[],"title_canon_sha256":"ec5bef62a6e56987836320a4b1d43091cc40eb6debbfeb7ac38796add5b8074f","abstract_canon_sha256":"315b8e434d6722ff72eddace8f1d3ff54db768bb1f8c4957f1732a9ba658418a"},"schema_version":"1.0"},"canonical_sha256":"8e1c34501708736698d0ca64bd132fdeda3441c3874080e5cdad97fd9afba74d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:28.560935Z","signature_b64":"Y63jXbhqnLzqCO6UYXDBTdSGxuMlhW04h/kCTWXDRoLjAy4++g8Z9RUk1lu7lDBCGNWjUFa155cEr+tkixgjBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8e1c34501708736698d0ca64bd132fdeda3441c3874080e5cdad97fd9afba74d","last_reissued_at":"2026-07-14T01:21:28.560110Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:28.560110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.10640","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":"2026-07-14T01:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nxl+P0VOR9giMbojIOWDZNz5KTwUYoRzlsyVDJn0HarTqfbnZkqON/zzOWfNFt13sX/hSp6zd30DiMYD2RtoCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T21:18:30.823316Z"},"content_sha256":"49dda3d39945d4965c8678ade2fd72570f6ce97d585720e0610c34d1ceedf233","schema_version":"1.0","event_id":"sha256:49dda3d39945d4965c8678ade2fd72570f6ce97d585720e0610c34d1ceedf233"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:RYODIUAXBBZWNGGQZJSL2EZP33","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Tianzhu Zhang, Wangkai Li, Yanjun Li, Yujia Chen, Zhaoyang Li","submitted_at":"2026-07-12T08:12:45Z","abstract_excerpt":"Vision-Language Models (VLMs) are costly at inference time because they must process long sequences of visual tokens. Existing token pruning methods often degrade under high compression by blindly discarding information, breaking spatial structure or collapsing diversity. We propose SpecFlow, a training-free framework that shifts the paradigm from destructive pruning to conservative condensation, strictly enforcing spatial coverage and statistical conservation to ensure stability. Treating visual tokens as nodes in a $k$NN graph, SpecFlow (i) computes a stable importance field via spectral hea"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10640","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/2607.10640/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":"2026-07-14T01:21:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zs063kvWMdl+gfLw9fWeZAXZTv8GyVby1/YlDqsDXTUEZAcIRzcHT1cJJyXX1wEiFzKzSezUsfCr0HEBO3byBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T21:18:30.823927Z"},"content_sha256":"9d2d08ac824a6ae9b40d72fb7e2c9bef1e9bcc88cfe35ef746c900cef0e2a242","schema_version":"1.0","event_id":"sha256:9d2d08ac824a6ae9b40d72fb7e2c9bef1e9bcc88cfe35ef746c900cef0e2a242"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RYODIUAXBBZWNGGQZJSL2EZP33/bundle.json","state_url":"https://pith.science/pith/RYODIUAXBBZWNGGQZJSL2EZP33/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RYODIUAXBBZWNGGQZJSL2EZP33/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":"2026-08-03T21:18:30Z","links":{"resolver":"https://pith.science/pith/RYODIUAXBBZWNGGQZJSL2EZP33","bundle":"https://pith.science/pith/RYODIUAXBBZWNGGQZJSL2EZP33/bundle.json","state":"https://pith.science/pith/RYODIUAXBBZWNGGQZJSL2EZP33/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RYODIUAXBBZWNGGQZJSL2EZP33/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RYODIUAXBBZWNGGQZJSL2EZP33","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":"315b8e434d6722ff72eddace8f1d3ff54db768bb1f8c4957f1732a9ba658418a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T08:12:45Z","title_canon_sha256":"ec5bef62a6e56987836320a4b1d43091cc40eb6debbfeb7ac38796add5b8074f"},"schema_version":"1.0","source":{"id":"2607.10640","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.10640","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"arxiv_version","alias_value":"2607.10640v1","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10640","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"pith_short_12","alias_value":"RYODIUAXBBZW","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"pith_short_16","alias_value":"RYODIUAXBBZWNGGQ","created_at":"2026-07-14T01:21:28Z"},{"alias_kind":"pith_short_8","alias_value":"RYODIUAX","created_at":"2026-07-14T01:21:28Z"}],"graph_snapshots":[{"event_id":"sha256:9d2d08ac824a6ae9b40d72fb7e2c9bef1e9bcc88cfe35ef746c900cef0e2a242","target":"graph","created_at":"2026-07-14T01:21:28Z","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/2607.10640/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-Language Models (VLMs) are costly at inference time because they must process long sequences of visual tokens. Existing token pruning methods often degrade under high compression by blindly discarding information, breaking spatial structure or collapsing diversity. We propose SpecFlow, a training-free framework that shifts the paradigm from destructive pruning to conservative condensation, strictly enforcing spatial coverage and statistical conservation to ensure stability. Treating visual tokens as nodes in a $k$NN graph, SpecFlow (i) computes a stable importance field via spectral hea","authors_text":"Tianzhu Zhang, Wangkai Li, Yanjun Li, Yujia Chen, Zhaoyang Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T08:12:45Z","title":"Spectral Heat Flow for Conservative Token Condensation in Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10640","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":"sha256:49dda3d39945d4965c8678ade2fd72570f6ce97d585720e0610c34d1ceedf233","target":"record","created_at":"2026-07-14T01:21:28Z","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":"315b8e434d6722ff72eddace8f1d3ff54db768bb1f8c4957f1732a9ba658418a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-12T08:12:45Z","title_canon_sha256":"ec5bef62a6e56987836320a4b1d43091cc40eb6debbfeb7ac38796add5b8074f"},"schema_version":"1.0","source":{"id":"2607.10640","kind":"arxiv","version":1}},"canonical_sha256":"8e1c34501708736698d0ca64bd132fdeda3441c3874080e5cdad97fd9afba74d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8e1c34501708736698d0ca64bd132fdeda3441c3874080e5cdad97fd9afba74d","first_computed_at":"2026-07-14T01:21:28.560110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-14T01:21:28.560110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Y63jXbhqnLzqCO6UYXDBTdSGxuMlhW04h/kCTWXDRoLjAy4++g8Z9RUk1lu7lDBCGNWjUFa155cEr+tkixgjBw==","signature_status":"signed_v1","signed_at":"2026-07-14T01:21:28.560935Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.10640","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:49dda3d39945d4965c8678ade2fd72570f6ce97d585720e0610c34d1ceedf233","sha256:9d2d08ac824a6ae9b40d72fb7e2c9bef1e9bcc88cfe35ef746c900cef0e2a242"],"state_sha256":"be339a91176166d4489123ea958e7c5415aaf0203e1069891247506e177df53a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1HB6hyZ7gH2PeqBSQsGQ+NSeZaEzf7pd0D1fJL8zgmwAew1tktmnulAya67mmzhPjTilj4ZAOrPe5XQSE/maBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T21:18:30.828902Z","bundle_sha256":"8d04ffe75cdf69613b788d2e6eefedbd80e792338e97b843e6ea4ca82785a05d"}}