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Paper Citation Record · LEDGER

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference

As of 10 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2509.03565.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2509.03565 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:01:16.724642Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

  • verified exact3
  • verified fuzzy31
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 418508c9-66ef-43cf-a72d-b38d5147cbe2 · outbound

This paper cites Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Cvt-slr: Contrastive visual-textual transformation for sign language recognition with variational alignment

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:12.793407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:12.793407Z digest=sha256:63d905023d510a9b19711651c16a5e775c88065759f7e7ff8dc48de04ad46c89

Observation 67a96760-50ac-4e65-92e5-ceaa0135217d · outbound

This paper cites Simvpv2: Towards simple yet powerful spatiotemporal predictive learning.IEEE Transactions on Multimedia, 2025.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Simvpv2: Towards simple yet powerful spatiotemporal predictive learning.IEEE Transactions on Multimedia, 2025

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:18.075779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:12.839766Z digest=sha256:19aa6ef2213c448fdbae870047106a44c2a06d568966462145b92b719343b680

Observation 524ce4e0-d07b-4276-8393-35846c951fde · outbound

This paper cites Openstl: A comprehensive benchmark of spatio- temporal predictive learning.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Openstl: A comprehensive benchmark of spatio- temporal predictive learning

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:18.051231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:12.926040Z digest=sha256:467c17bb54e77b8c47a48489e0fd4950893fffb68ce8a121af11ad10c157a79d

Observation ea5fb69d-77e6-4e71-bd2d-22b10bad14f3 · outbound

This paper cites Peek across: Improving multi-document modeling via cross-document question- answering.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Peek across: Improving multi-document modeling via cross-document question- answering

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:18.022327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.001296Z digest=sha256:b7cc59fbb9aa0d65e55f0b2a794a86f260994cbb0c906ec1654ce0d19c0f2f66

Observation 689f15e7-e7c1-49f9-bfe3-461b97933cf8 · outbound

This paper cites Compressed heterogeneous graph for abstractive multi-document summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Compressed heterogeneous graph for abstractive multi-document summarization

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.991813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.096139Z digest=sha256:fe879fd85d82c3b3bd96b0c4b57f2560ef8ae991dace60543a6ce55a41038cae

Observation be4360db-1e3f-4725-a547-2ac70e36daf9 · outbound

This paper cites Structvrm: Aligning multimodal reasoning with structured and verifiable reward models, 2025.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Structvrm: Aligning multimodal reasoning with structured and verifiable reward models, 2025

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.961336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.220481Z digest=sha256:5b21443afeb1c36815f974103756568114c3cab98f7a8975bd712d9bb2593d86

Observation 947e3546-7c4a-482b-a755-efe21e11c16b · outbound

This paper cites Text summarization with pretrained encoders.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Text summarization with pretrained encoders

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.926369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.310968Z digest=sha256:f2a2cb59c7ee2fa507a7d15e1ff1c4042e63ab4fad1016f7b2bebee96ea1cab3

Observation 62865f59-779c-40d8-8e9f-0ebeebc5b6a8 · outbound

This paper cites Long-span summarization via local attention and content selection.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Long-span summarization via local attention and content selection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.893644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.365364Z digest=sha256:913133ac7ea2a1b3a0e73c63da9ed57ab2a5b1e102e2d846bde3c80bd9e6e154

Observation 192a074b-46ce-45fb-a4d9-a204b7fee649 · outbound

This paper cites Hegel: Hypergraph transformer for long document summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Hegel: Hypergraph transformer for long document summarization

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.866398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.437754Z digest=sha256:2ec87b8eeb8158999b18d00fdb8f4cb05fb6b7646cfe462152bbe293936ce9c7

Observation 68490897-0de6-4c98-b653-43c6ba794e2e · outbound

This paper cites Hierarchical attention graph for scientific document summarization in global and local level.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Hierarchical attention graph for scientific document summarization in global and local level

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.841854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.556064Z digest=sha256:183feee8d2c5370c2224737893f907aa4f54490c5347ba2ef9f35b21ec40b78c

Observation a9419d92-5cad-4506-9241-d1f649abd549 · outbound

This paper cites Generating a Structured Summary of Numerous Academic Papers: Dataset and Method.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Generating a Structured Summary of Numerous Academic Papers: Dataset and Method

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:01:17.319277Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.648524Z digest=sha256:f499f6a2fadf12a0bb6bd981832af83dca9224a7b25cb70a0296736f1b44cb4e

Observation 43b8ff66-fb6e-4a61-8644-a83204bf18a2 · outbound

This paper cites Chime: Llm-assisted hierarchical organization of scientific studies for literature review support.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Chime: Llm-assisted hierarchical organization of scientific studies for literature review support

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.823087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.704636Z digest=sha256:b2fdfbb5a5172b1b4c49b14ec0f451e5dc47ad766a8e7675e3c5371904046bb0

Observation ec854a7c-df28-47cb-9c3c-71a76de0a1e0 · outbound

This paper cites Autosurvey: Large language models can automatically write surveys.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Autosurvey: Large language models can automatically write surveys

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.808547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:13.795163Z digest=sha256:5ced497cd3678062201640fbf75bdd52a950dd75895911af125c4c2ecf411140

Observation 8f8968c3-62cc-44df-813b-0e80ae1df912 · outbound

This paper cites SurveyX: Academic Survey Automation via Large Language Models.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference SurveyX: Academic Survey Automation via Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:13.864438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:13.864438Z digest=sha256:81db97253a9c7536aee9e4a76dd46ba20bf616d7153f8de6c2883b2b331d55fc

Observation 17c57236-a69a-49ea-b425-742bb786e7cf · outbound

This paper cites Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:13.955862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:13.955862Z digest=sha256:5f8b4ba41d043c9ee71162579cab4eba36bb71a99ffc22aaec6dd6d0202d6ea4

Observation fa5d9654-af0d-41c0-9c94-d1f492252c6b · outbound

This paper cites ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference ResearchAgent: Iterative Research Idea Generation over Scientific Literature with Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:14.023009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:14.023009Z digest=sha256:5d6d9f1a7376910423cb4743f5b5e223258f556b0a6578c981542812b4ba5c04

Observation aa211f0a-6f6a-4774-a88f-fd3d61248ae0 · outbound

This paper cites Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:14.071295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:14.071295Z digest=sha256:db030c6de380aec00cc679665075bcc08c0f8ae2700c6138bb32fa7f2befc1f3

Observation 042b2d6c-ea47-4d48-a0d5-33d16b08c601 · outbound

This paper cites SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:14.152470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:14.152470Z digest=sha256:e1e74f5dfa14371afd1fda759cdf5bf5eb9b78f34f6e5ab7f79aed81dd95b5eb

Observation a2c7fb46-0691-40b9-9716-7a63cb683704 · outbound

This paper cites From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference From words to structured visuals: A benchmark and framework for text-to-diagram generation and editing

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.791225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.237229Z digest=sha256:4c14aa965f6e95957accfd9a7a2bd149f2db569096b16bac107b63b5c4236b50

Observation 0f476359-0503-4aff-94ea-25d37b88562d · outbound

This paper cites DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:14.352830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:14.352830Z digest=sha256:9565dee00905f2bc21ffa1ef93c21bb0859ec9bd86b2b95f27b259053a5cc439

Observation 21062215-8bb7-4eb7-8a1d-525b1841bee7 · outbound

This paper cites Textrank: Bringing order into text.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Textrank: Bringing order into text

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.773241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.404699Z digest=sha256:e7c9b6cac371a303cc15cd3ffb6f0674128fa959b6afaad660f7ad0e24afc402

Observation 83457be8-3420-4843-bea7-972a1845f9de · outbound

This paper cites Lexrank: Graph-based lexical centrality as salience in text summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Lexrank: Graph-based lexical centrality as salience in text summarization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.748716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.472299Z digest=sha256:3310483d8db233343f2a159a7a28190d6263764397b03b6b7ae3014ce650fc93

Observation 5e42fc3b-a0c0-4ab4-b4b4-37ef97638d68 · outbound

This paper cites An empirical survey on long document summarization: Datasets, models, and metrics.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference An empirical survey on long document summarization: Datasets, models, and metrics

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.717728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.551517Z digest=sha256:a83a7e6666c44f31211e491a0aa5a7c4a8d1c890fa028f9059ecdb42192aaf48

Observation 1b6efdb5-5cc3-43fc-a03f-aa93835c314e · outbound

This paper cites Extractive summarization using extended textrank algorithm.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Extractive summarization using extended textrank algorithm

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.694010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.637922Z digest=sha256:77554999d2106281fc5ea753dcad9a802ea7749a4db75eb1c20b8d503d3749c7

Observation 91531278-f1ef-457a-ae5e-ac5c7adf25d6 · outbound

This paper cites Dependency- based discourse parser for single-document summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Dependency- based discourse parser for single-document summarization

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.677621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.750063Z digest=sha256:3a9d45d032642cb214804b1a2d7f02cf6ecf77c6b4f7ea8c24930c97e0608722

Observation a5f2bfcf-ee64-4974-b42f-5dbe36f65732 · outbound

This paper cites Learning-based single- document summarization with compression and anaphoricity constraints.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Learning-based single- document summarization with compression and anaphoricity constraints

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.657916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.832658Z digest=sha256:f0267b2853dc3dc4ce0adcc8ce037fd6574e5ee4687a98a90906800dcd273a39

Observation 15566b5c-4143-43ad-99e3-3529ff88f5d1 · outbound

This paper cites Single-document abstractive text summarization: A systematic literature review.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Single-document abstractive text summarization: A systematic literature review

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.630076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:14.961975Z digest=sha256:c3019204d0abebb322dfe63fcb976b6d46d5e9821f7c6133801ba51e0492d16b

Observation 5abd86a5-6a79-40a4-89db-a550e8cf0eac · outbound

This paper cites BooookScore: A systematic exploration of book-length summarization in the era of LLMs.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference BooookScore: A systematic exploration of book-length summarization in the era of LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:15.014552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:15.014552Z digest=sha256:7d327f822d7d4bf6b38f3db5a4086e84f1029413f8961e10ed407a782a42aed0

Observation c39845a5-1cef-4b22-9e43-6d74151e8e3d · outbound

This paper cites Long document summarization with top-down and bottom-up inference.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Long document summarization with top-down and bottom-up inference

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.606780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:15.160892Z digest=sha256:4029e3f5706e362e4bfbd8c0b6b8e0636b6176cec05dd8481761f88bbc42a5b6

Observation 863de7e5-3c4e-451e-852c-400ba6b5047f · outbound

This paper cites Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:01:17.098186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:15.324449Z digest=sha256:8f851d426b1ea207c3be04d171699ac77198a29b05f650dfbfcbebd48f76e2e3

Observation e8a06eb9-cb7c-425d-8892-4cbea7430d78 · outbound

This paper cites SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:01:17.069548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:15.440362Z digest=sha256:49ee08db507c3563e12027acb167103ac7a2db296b6344d0fce10e73dc95bc83

Observation 9e9f26a7-35a8-427d-96b5-bfaabfbb9605 · outbound

This paper cites Improving multi-document summarization through referenced flexible extraction with credit-awareness.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Improving multi-document summarization through referenced flexible extraction with credit-awareness

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.581657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:15.597777Z digest=sha256:ad2df9b3f31f6cedccc20d0fd98ca1dd32bbb40bf8fa8946f016bb675330244f

Observation 17d721a6-4918-489a-ba0a-7964a242c856 · outbound

This paper cites Super- vising the centroid baseline for extractive multi-document summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Super- vising the centroid baseline for extractive multi-document summarization

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.556560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:15.780681Z digest=sha256:b4298f26aafec0f0a0fc38379a6fb4bc0744d069fa5a59294f873a672253cd09

Observation 17e00a22-803a-4835-9f24-1daa13958bb6 · outbound

This paper cites Enhancing multi-document summarization with cross-document graph- based information extraction.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Enhancing multi-document summarization with cross-document graph- based information extraction

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.532848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:15.920947Z digest=sha256:f0ca184cad1e007b43a1cbc96980fc86610742971d242af5bd460845e5fae000

Observation 108d35fc-3b7b-4066-8a76-f64774676e73 · outbound

This paper cites Disentangling specificity for abstractive multi-document summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Disentangling specificity for abstractive multi-document summarization

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.512481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.072227Z digest=sha256:537b7be162076259602fb66c97050d1fe0f958b307b0dff02e236f845f2fee6c

Observation e452f52b-366b-4368-985b-d41a93ecae09 · outbound

This paper cites Embrace divergence for richer insights: A multi-document summarization benchmark and a case study on summarizing diverse information from news articles.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Embrace divergence for richer insights: A multi-document summarization benchmark and a case study on summarizing diverse information from news articles

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.490842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.239738Z digest=sha256:7ddbb7f1b26ea0aa5336a9d28150adc123007a4fcec2209a0dd62f84f081d9a3

Observation cd1c8712-2413-41a7-88b4-f477093eb6bd · outbound

This paper cites From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference From Single to Multi: How LLMs Hallucinate in Multi-Document Summarization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.372999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.372999Z digest=sha256:a6d6e943468f66b4b55f9639c4f7380193b3b6d2ba8c62192e574b8c520d256b

Observation 5007d1a3-968d-45aa-9fb6-ef6e90f45f85 · outbound

This paper cites Assisting in writing wikipedia-like articles from scratch with large language models.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Assisting in writing wikipedia-like articles from scratch with large language models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.464414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.497452Z digest=sha256:aec7afc59486808a7c668c965e6d044cb724b0c93c37ea4d84e81b20785a4d01

Observation 149a05c7-1d73-46f4-bb78-b4cdf56bbbb8 · outbound

This paper cites Chatcite: Llm agent with human workflow guidance for comparative literature summary.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Chatcite: Llm agent with human workflow guidance for comparative literature summary

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.443315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.568908Z digest=sha256:59f3cef15dc6a21eaeee0bcef63370fcd01cd35e6759010e88b5fec221572921

Observation b938ce18-1f22-4e74-9d41-af7e98dd349a · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.618393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.618393Z digest=sha256:fbacf9d8b8086f4b796258f1c3e78e079d560064a9fb82a2a96da9f2907e65da

Observation ac6a2b37-8b82-4568-bcdc-6f2cf46ee915 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.653533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.653533Z digest=sha256:124bc49d0022a05f05525b68906581473c9c960898a6beeca2b9f499f4004034

Observation 85391fb2-9e47-4313-b7fa-ffbd98dac110 · outbound

This paper cites GPT-4o System Card.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference GPT-4o System Card

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.659228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.659228Z digest=sha256:ddfc171e3b2d92a7a5a7bff13cc937c8c1e2d490d95810e353fd80acbd27c8f4

Observation 8ddac94d-8dd6-483d-bd94-37aa89a65480 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.666344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.666344Z digest=sha256:02a152a2c099d7663e26e2b748da44e9a853a0737caf98529a65a35c1e09b43f

Observation 67e9fbbc-bf46-4794-bf07-92c6fd2abe3e · outbound

This paper cites Gpt-4o: Advancing multimodal ai with real-time audio, vision, and text integration.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Gpt-4o: Advancing multimodal ai with real-time audio, vision, and text integration

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.418663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.672296Z digest=sha256:6eb118e65af5875b49aac20a9cef98c3a8ff0b2dedcaec7fa8092e26b061f476

Observation f8fa884b-85cf-4157-9320-c312da596821 · outbound

This paper cites Qwen2.5-Coder Technical Report.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Qwen2.5-Coder Technical Report

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.679837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.679837Z digest=sha256:f7454dc9720686393065aed8da7067cc1e78bec9eb0d243ae0279f24ea06ad83

Observation 8c7fbad7-84ca-46de-9c58-1de59bd96b84 · outbound

This paper cites Qwen Technical Report.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Qwen Technical Report

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.694057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.694057Z digest=sha256:9771d5b34d183a2cb37178af213e55272f0fd3a05b4cf12677ee6c5dcd2f42fd

Observation d39ed4e4-038b-4557-ac5a-95b13fd8fc40 · outbound

This paper cites InternLM2 Technical Report.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference InternLM2 Technical Report

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.700701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.700701Z digest=sha256:bece57b720acef2c1a436fd94210601e6e3b45226cea2bcc2b5c0f9b7f871dd2

Observation 52e10212-c8a4-4922-821a-54748ce489a0 · outbound

This paper cites Llama 3: Open foundation for generative ai.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Llama 3: Open foundation for generative ai

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.397578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.707443Z digest=sha256:8c7e4b1084da111cd7952beaefc54498b3555524df54e1ab88f07c5df353fba8

Observation 06050abd-8665-466f-a4c4-4b39cb99a3b0 · outbound

This paper cites Codellama: Open foundation models for code.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Codellama: Open foundation models for code

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.372684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.713143Z digest=sha256:75c86c3e376cec44de4509b1c30acba1dfacc6ea279bdce56af44ada694d49e9

Observation c4c0bdba-4863-4445-b92d-3ae9388c257b · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference The claude 3 model family: Opus, sonnet, haiku

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:01:17.341014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:01:16.719543Z digest=sha256:8b946a1b8417f476fbb360e8bb568a1c8a0333d38fe56138331404d4b2837fe4

Observation 75db4376-b704-4723-a34d-a86c013d1fd9 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference Gemini: A Family of Highly Capable Multimodal Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T11:01:16.724642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:01:16.724642Z digest=sha256:bc844ccdb28b3f33d0f6bef5726c4acc09944ddef8cf558359283d990f7d40dc

Pith citing papers

No inbound Pith citation observations are available.