{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YFEIEFXDLZWVQAMP4KD6OGKFMT","short_pith_number":"pith:YFEIEFXD","canonical_record":{"source":{"id":"2601.15224","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-21T17:56:59Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"e6eeeec82309ec26ae36618749f9b7abe73bde99bd261015c104c820056b7af4","abstract_canon_sha256":"fab887319caaa5e309fd3ac4d2aebde1393e423fb3ff078983b793a9f9d6e23b"},"schema_version":"1.0"},"canonical_sha256":"c1488216e35e6d58018fe287e7194564f6562fc260ec91fe71a4fc8219039f03","source":{"kind":"arxiv","id":"2601.15224","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.15224","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"arxiv_version","alias_value":"2601.15224v2","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.15224","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"pith_short_12","alias_value":"YFEIEFXDLZWV","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"pith_short_16","alias_value":"YFEIEFXDLZWVQAMP","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"pith_short_8","alias_value":"YFEIEFXD","created_at":"2026-05-25T02:01:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YFEIEFXDLZWVQAMP4KD6OGKFMT","target":"record","payload":{"canonical_record":{"source":{"id":"2601.15224","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-21T17:56:59Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"e6eeeec82309ec26ae36618749f9b7abe73bde99bd261015c104c820056b7af4","abstract_canon_sha256":"fab887319caaa5e309fd3ac4d2aebde1393e423fb3ff078983b793a9f9d6e23b"},"schema_version":"1.0"},"canonical_sha256":"c1488216e35e6d58018fe287e7194564f6562fc260ec91fe71a4fc8219039f03","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-25T02:01:12.486995Z","signature_b64":"3eN/q2MfxJ/0N4LsAe+l+IvOl/T3+Q58+lireoWpCA24SlIHpkdrxCYEbThaxieXe8aD6DdXXHUby7jfyzW1Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c1488216e35e6d58018fe287e7194564f6562fc260ec91fe71a4fc8219039f03","last_reissued_at":"2026-05-25T02:01:12.486064Z","signature_status":"signed_v1","first_computed_at":"2026-05-25T02:01:12.486064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2601.15224","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-25T02:01:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CyGFZOrUB6QfzwxSxTlPjkXFDPPKvGADYMyOx/aYNv/s48XPbNUaxi+GakUx+AHkuyJky/RPmkB1zoTsS/5hAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T19:46:12.958732Z"},"content_sha256":"e99f2f4a957d6084111fb20897bc6aeb9a8904e9c8dd505d3eb52a8df5a1bd6b","schema_version":"1.0","event_id":"sha256:e99f2f4a957d6084111fb20897bc6aeb9a8904e9c8dd505d3eb52a8df5a1bd6b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YFEIEFXDLZWVQAMP4KD6OGKFMT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PROGRESSLM: Towards Progress Reasoning in Vision-Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.CV","authors_text":"Chengxuan Qian, Dingcheng Wang, Han Liu, Haoran Lu, Haosen Sun, Jianshu Zhang, Letian Xue","submitted_at":"2026-01-21T17:56:59Z","abstract_excerpt":"Estimating task progress requires reasoning over long-horizon dynamics rather than recognizing static visual content. While modern Vision-Language Models (VLMs) excel at describing what is visible, it remains unclear whether they can infer how far a task has progressed from partial observations. To this end, we introduce Progress-Bench, a benchmark for systematically evaluating progress reasoning in VLMs. Beyond benchmarking, we further explore a human-inspired two-stage progress reasoning paradigm through both training-free prompting and training-based approach based on curated dataset Progre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.15224","kind":"arxiv","version":2},"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/2601.15224/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":"2026-05-25T02:01:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/ykP9W8mVhIMfmX3wT7us+LYKvuT6c59p1ranbAjLn8U95BVK9Nkvg7pBE6DMldIaTrIh2NNdPoJjE5tGaUYDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-27T19:46:12.959223Z"},"content_sha256":"6d13e5f478fd31e089bb2b08777d0dd626c9caf655bed14899749e8d8e186115","schema_version":"1.0","event_id":"sha256:6d13e5f478fd31e089bb2b08777d0dd626c9caf655bed14899749e8d8e186115"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT/bundle.json","state_url":"https://pith.science/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT/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":"2026-05-27T19:46:12Z","links":{"resolver":"https://pith.science/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT","bundle":"https://pith.science/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT/bundle.json","state":"https://pith.science/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YFEIEFXDLZWVQAMP4KD6OGKFMT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YFEIEFXDLZWVQAMP4KD6OGKFMT","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":"fab887319caaa5e309fd3ac4d2aebde1393e423fb3ff078983b793a9f9d6e23b","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-21T17:56:59Z","title_canon_sha256":"e6eeeec82309ec26ae36618749f9b7abe73bde99bd261015c104c820056b7af4"},"schema_version":"1.0","source":{"id":"2601.15224","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2601.15224","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"arxiv_version","alias_value":"2601.15224v2","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.15224","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"pith_short_12","alias_value":"YFEIEFXDLZWV","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"pith_short_16","alias_value":"YFEIEFXDLZWVQAMP","created_at":"2026-05-25T02:01:12Z"},{"alias_kind":"pith_short_8","alias_value":"YFEIEFXD","created_at":"2026-05-25T02:01:12Z"}],"graph_snapshots":[{"event_id":"sha256:6d13e5f478fd31e089bb2b08777d0dd626c9caf655bed14899749e8d8e186115","target":"graph","created_at":"2026-05-25T02:01:12Z","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/2601.15224/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Estimating task progress requires reasoning over long-horizon dynamics rather than recognizing static visual content. While modern Vision-Language Models (VLMs) excel at describing what is visible, it remains unclear whether they can infer how far a task has progressed from partial observations. To this end, we introduce Progress-Bench, a benchmark for systematically evaluating progress reasoning in VLMs. Beyond benchmarking, we further explore a human-inspired two-stage progress reasoning paradigm through both training-free prompting and training-based approach based on curated dataset Progre","authors_text":"Chengxuan Qian, Dingcheng Wang, Han Liu, Haoran Lu, Haosen Sun, Jianshu Zhang, Letian Xue","cross_cats":["cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-21T17:56:59Z","title":"PROGRESSLM: Towards Progress Reasoning in Vision-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.15224","kind":"arxiv","version":2},"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:e99f2f4a957d6084111fb20897bc6aeb9a8904e9c8dd505d3eb52a8df5a1bd6b","target":"record","created_at":"2026-05-25T02:01:12Z","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":"fab887319caaa5e309fd3ac4d2aebde1393e423fb3ff078983b793a9f9d6e23b","cross_cats_sorted":["cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-01-21T17:56:59Z","title_canon_sha256":"e6eeeec82309ec26ae36618749f9b7abe73bde99bd261015c104c820056b7af4"},"schema_version":"1.0","source":{"id":"2601.15224","kind":"arxiv","version":2}},"canonical_sha256":"c1488216e35e6d58018fe287e7194564f6562fc260ec91fe71a4fc8219039f03","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c1488216e35e6d58018fe287e7194564f6562fc260ec91fe71a4fc8219039f03","first_computed_at":"2026-05-25T02:01:12.486064Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-25T02:01:12.486064Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3eN/q2MfxJ/0N4LsAe+l+IvOl/T3+Q58+lireoWpCA24SlIHpkdrxCYEbThaxieXe8aD6DdXXHUby7jfyzW1Ag==","signature_status":"signed_v1","signed_at":"2026-05-25T02:01:12.486995Z","signed_message":"canonical_sha256_bytes"},"source_id":"2601.15224","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e99f2f4a957d6084111fb20897bc6aeb9a8904e9c8dd505d3eb52a8df5a1bd6b","sha256:6d13e5f478fd31e089bb2b08777d0dd626c9caf655bed14899749e8d8e186115"],"state_sha256":"3889ec3c1cbf408e3fdc23860690a9ca48539b36dd1ee2be7f58eb8c34cfe797"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LlI3gF+RxJLnjeBe6oohyu++lwup1ByV8K1tOG6FMj9ljqVy8wYEKkZaD2LwVn+VBWN6VI+i+sRgXcLadxW+CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-27T19:46:12.962564Z","bundle_sha256":"735eace3c6dfd8eda5fb8a1c6ebbd19763a1b15ce9a8c1ada358a5c83b4a8d3a"}}