{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PU4MUFHOJHKIRIXIQT2CE32A5E","short_pith_number":"pith:PU4MUFHO","canonical_record":{"source":{"id":"2605.24047","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T21:19:00Z","cross_cats_sorted":[],"title_canon_sha256":"14452c4e9dd33f202dbf3dc990760928da61c6e908c7b7b150664b970fa94042","abstract_canon_sha256":"c3280d34b160bb2e11b3eeea3d17bc553819bed5d096ddbac6da4476627e5c21"},"schema_version":"1.0"},"canonical_sha256":"7d38ca14ee49d488a2e884f4226f40e93f80f09a42fa83148d883af53ff36f97","source":{"kind":"arxiv","id":"2605.24047","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24047","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24047v1","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24047","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"pith_short_12","alias_value":"PU4MUFHOJHKI","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"pith_short_16","alias_value":"PU4MUFHOJHKIRIXI","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"pith_short_8","alias_value":"PU4MUFHO","created_at":"2026-05-26T01:02:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PU4MUFHOJHKIRIXIQT2CE32A5E","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24047","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T21:19:00Z","cross_cats_sorted":[],"title_canon_sha256":"14452c4e9dd33f202dbf3dc990760928da61c6e908c7b7b150664b970fa94042","abstract_canon_sha256":"c3280d34b160bb2e11b3eeea3d17bc553819bed5d096ddbac6da4476627e5c21"},"schema_version":"1.0"},"canonical_sha256":"7d38ca14ee49d488a2e884f4226f40e93f80f09a42fa83148d883af53ff36f97","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:02:42.748807Z","signature_b64":"VE167zacMfJTAQ8PsEYQUmzVuclQFtJ70Shcfn5FaGu/kC/R7hdZ9/3CJPQ+BhkRQaBzlE8kiaBvKTMisPrNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d38ca14ee49d488a2e884f4226f40e93f80f09a42fa83148d883af53ff36f97","last_reissued_at":"2026-05-26T01:02:42.747980Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:02:42.747980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24047","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":"2026-05-26T01:02:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EwTsRienm02yJYjxfhhfw++/sskpt8WsKdk2EwdLmdYokOyP9l62y9a37qickd7EitLvt8SOWd1fYHliJzY1BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T17:32:54.143833Z"},"content_sha256":"b0cea7d510e1dc903eb1aa19751d146c1631066a7918666a5d82805f1551c801","schema_version":"1.0","event_id":"sha256:b0cea7d510e1dc903eb1aa19751d146c1631066a7918666a5d82805f1551c801"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PU4MUFHOJHKIRIXIQT2CE32A5E","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"EMMA: Extracting Multiple physical parameters from Multimodal Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ayan Banerjee, Farhat Shaikh, Sandeep Gupta","submitted_at":"2026-05-21T21:19:00Z","abstract_excerpt":"We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image-based time-series observations. Unlike prior video-only approaches that struggle with occluded states, hidden actuation inputs, or assumptions about known initial conditions and coordinate frames, EMMA performs joint inference of explicit parameters, implicit dynamical components, and calibration invariants within a unified continuous-time model. EMMA leverages a Liquid Time-Constant (LTC) network to learn latent dynamics from hete"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24047","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/2605.24047/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":"2026-05-26T01:02:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aJ5yKJRKDGxz5f7mhmkaY4fT5iYlxTb3GOblAt8Ow6idsNR/GMXmJnLShd1WoDKH+aKa0iEVev/76KxhcADoAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T17:32:54.144563Z"},"content_sha256":"997380348b4bfa7c8f7d10db46e26f4122758daf6eb7d18a18e9d562d5d86d6f","schema_version":"1.0","event_id":"sha256:997380348b4bfa7c8f7d10db46e26f4122758daf6eb7d18a18e9d562d5d86d6f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PU4MUFHOJHKIRIXIQT2CE32A5E/bundle.json","state_url":"https://pith.science/pith/PU4MUFHOJHKIRIXIQT2CE32A5E/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PU4MUFHOJHKIRIXIQT2CE32A5E/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":"2026-05-27T17:32:54Z","links":{"resolver":"https://pith.science/pith/PU4MUFHOJHKIRIXIQT2CE32A5E","bundle":"https://pith.science/pith/PU4MUFHOJHKIRIXIQT2CE32A5E/bundle.json","state":"https://pith.science/pith/PU4MUFHOJHKIRIXIQT2CE32A5E/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PU4MUFHOJHKIRIXIQT2CE32A5E/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PU4MUFHOJHKIRIXIQT2CE32A5E","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":"c3280d34b160bb2e11b3eeea3d17bc553819bed5d096ddbac6da4476627e5c21","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T21:19:00Z","title_canon_sha256":"14452c4e9dd33f202dbf3dc990760928da61c6e908c7b7b150664b970fa94042"},"schema_version":"1.0","source":{"id":"2605.24047","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24047","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24047v1","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24047","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"pith_short_12","alias_value":"PU4MUFHOJHKI","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"pith_short_16","alias_value":"PU4MUFHOJHKIRIXI","created_at":"2026-05-26T01:02:42Z"},{"alias_kind":"pith_short_8","alias_value":"PU4MUFHO","created_at":"2026-05-26T01:02:42Z"}],"graph_snapshots":[{"event_id":"sha256:997380348b4bfa7c8f7d10db46e26f4122758daf6eb7d18a18e9d562d5d86d6f","target":"graph","created_at":"2026-05-26T01:02:42Z","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/2605.24047/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce EMMA, a physics-informed multimodal framework that recovers all identifiable dynamical parameters of a system directly from raw video, audio, and image-based time-series observations. Unlike prior video-only approaches that struggle with occluded states, hidden actuation inputs, or assumptions about known initial conditions and coordinate frames, EMMA performs joint inference of explicit parameters, implicit dynamical components, and calibration invariants within a unified continuous-time model. EMMA leverages a Liquid Time-Constant (LTC) network to learn latent dynamics from hete","authors_text":"Ayan Banerjee, Farhat Shaikh, Sandeep Gupta","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T21:19:00Z","title":"EMMA: Extracting Multiple physical parameters from Multimodal Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24047","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:b0cea7d510e1dc903eb1aa19751d146c1631066a7918666a5d82805f1551c801","target":"record","created_at":"2026-05-26T01:02:42Z","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":"c3280d34b160bb2e11b3eeea3d17bc553819bed5d096ddbac6da4476627e5c21","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-05-21T21:19:00Z","title_canon_sha256":"14452c4e9dd33f202dbf3dc990760928da61c6e908c7b7b150664b970fa94042"},"schema_version":"1.0","source":{"id":"2605.24047","kind":"arxiv","version":1}},"canonical_sha256":"7d38ca14ee49d488a2e884f4226f40e93f80f09a42fa83148d883af53ff36f97","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7d38ca14ee49d488a2e884f4226f40e93f80f09a42fa83148d883af53ff36f97","first_computed_at":"2026-05-26T01:02:42.747980Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:02:42.747980Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VE167zacMfJTAQ8PsEYQUmzVuclQFtJ70Shcfn5FaGu/kC/R7hdZ9/3CJPQ+BhkRQaBzlE8kiaBvKTMisPrNCQ==","signature_status":"signed_v1","signed_at":"2026-05-26T01:02:42.748807Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24047","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0cea7d510e1dc903eb1aa19751d146c1631066a7918666a5d82805f1551c801","sha256:997380348b4bfa7c8f7d10db46e26f4122758daf6eb7d18a18e9d562d5d86d6f"],"state_sha256":"5a2753859ac485da020c5d842e1d527f2c5ab519d08a88f1055abdd7d8cbdebd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RNg4+ODAn9KO3KPSlBF/Qd4Ti5fLUjt1PV8Nmb9e5yMxBHorXXuAnvzaX7mIxvDsRCevz2Hvt00XZJ+DMQLiAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T17:32:54.148290Z","bundle_sha256":"a7f15e084eefe1700377b44fc32f4b50868cae661f33d811bc6a0728e38a2523"}}