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Paper Citation Record · LEDGER

LLM Augmentations to support Analytical Reasoning over Multiple Documents

As of 13 August 2026, this Paper Citation Record lists 69 of 69 outbound references and 1 inbound Pith citation observation for arXiv:2411.16116.

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

pith.paper-citation-record.v1
2411.16116 v1

Coverage vector

measured 69 of 69 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:34:49.122694Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T15:22:12.675862Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:24:49.881819Z

Reference resolution

69 of 69 outbound references displayed

  • verified exact2
  • verified fuzzy38
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97178d7d-8756-4e3e-a338-464128b1d4dc · outbound

This paper cites Large lan- guage models are zero-shot reasoners,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Large lan- guage models are zero-shot reasoners,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.740889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.740889Z digest=sha256:f0c50d4bcb4bf0f9d979445494064cd42a5d9371e9345d8d2bdec4d014603511

Observation 64d9c953-5c5d-42e7-a1f6-cc217d326d91 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Chain-of-thought prompting elicits reasoning in large language models,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.381337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.746849Z digest=sha256:46232c953913769721bdfdc52a68bcee78663d482cf04347da8fe20aad88666f

Observation 358dd735-0dd2-4521-956c-0fb90f65e394 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.752271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.752271Z digest=sha256:924338a8694ebabaf55de924b088388f53ba992a5d589044bc51427b0f1b6908

Observation 5c4dc8c7-d336-4a1f-8e4e-6c368f3b3d71 · outbound

This paper cites Large Language Models Humanize Technology.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Large Language Models Humanize Technology

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:34:49.658375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.758497Z digest=sha256:724883d664ed55a1cf0399e72c625778182258a8890fcc0d566bb335ddf65f79

Observation afff1e5f-ada3-448e-a55e-b07ba8eb229e · outbound

This paper cites Challenges and Applications of Large Language Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Challenges and Applications of Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.764730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.764730Z digest=sha256:86daca3c623848313826c56dd39eb15a22d9c9ab0aff3f01a413e3ee67f1c18d

Observation f267b369-17e8-4961-a4c7-d63691428185 · outbound

This paper cites The role of large language models in medical education: applications and implications,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents The role of large language models in medical education: applications and implications,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.364321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.770484Z digest=sha256:2dad5bb4ca401e4e5f6bd47398fa158cd5c95deb404150795a9b11d86020c99d

Observation 58f9f135-aaa9-48b5-8d0b-6c64059e82ae · outbound

This paper cites Neural methods for data-to-text generation,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Neural methods for data-to-text generation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.346789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.776434Z digest=sha256:2e4a100b7c50b0222448850276b570cf3be9e59ce93f7336e638c11c3c25917d

Observation 83492a82-13d6-4ad9-9fa6-c7bec95bd61f · outbound

This paper cites Characterizing the intelligence analysis process: Informing visual analytics design through a longitudinal field study,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Characterizing the intelligence analysis process: Informing visual analytics design through a longitudinal field study,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.328724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.781848Z digest=sha256:677ce45127d52103ae0c548fc71ac7c950347b1e28f9ee8740d43f659e700c94

Observation 3b074f95-4d4b-463e-ab41-e9a6bfad3af6 · outbound

This paper cites Exploring the evolution of sensemaking strategies in immersive space to think,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Exploring the evolution of sensemaking strategies in immersive space to think,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.311179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.786904Z digest=sha256:73bc0deeb75920f3b30c07b0d203581dca1eea08267ff52cd161c72a22d404e3

Observation 22d4b373-c3ac-4f38-8320-f47950eeb560 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents LLaMA: Open and Efficient Foundation Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.792341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.792341Z digest=sha256:503069cd8fe05e60be02c4d762a6316d3395ce88ac3e97024c68e58a42f34c49

Observation c092dab2-e69c-4484-a89b-282f5c4dfed2 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.797767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.797767Z digest=sha256:d0079feea2accf24a8b2465f1a0336fee6e4e14dfc4dd8e70bab2193c2839c96

Observation 7a32c34b-499d-469f-bbb3-b5d5af95fcbd · outbound

This paper cites Training language models to follow instructions with human feedback,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Training language models to follow instructions with human feedback,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.803478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.803478Z digest=sha256:19a57cebc4a67c831e9638bcc67deea991cbae4ec9b433f8a70cabe8f9714892

Observation 56789b4d-0082-42d3-9ea4-c2c75309d9ee · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Tree of thoughts: Deliberate problem solving with large language models,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.281874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.809555Z digest=sha256:3a8841cb221114e3887977f3127e9064e5f82876b95b8ffa30142a6eeccd65b1

Observation 1bd5fd97-578e-4299-88f2-df64ecd5d902 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Graph of thoughts: Solving elaborate problems with large language models,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.264650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.815031Z digest=sha256:d25f877c083c15183c05df37119166b70925825a61acab89d3148a1981db8d83

Observation 17ad4d8c-999e-4894-ad17-a56c569c54af · outbound

This paper cites Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.820114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.820114Z digest=sha256:f4968cc7c752d166ecfec8ee0170ce7d0b36a08f454fe0ee0b7b1698291a2067

Observation fb33b116-7a0c-4d09-add2-bb487ab5108c · outbound

This paper cites Generative agents: Interactive simulacra of human behavior,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Generative agents: Interactive simulacra of human behavior,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.246456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.825331Z digest=sha256:d45a07793afafae5b68e330dcefd5772240c7b6b05cd97c47921750938ccf3d0

Observation d3dde1d2-ef27-4354-9940-409087c6d7d1 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

LLM Augmentations to support Analytical Reasoning over Multiple Documents MTEB: Massive Text Embedding Benchmark

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.830797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.830797Z digest=sha256:90df83988221114c3097fb92e4db5368da4fca9d243ff91cffb90b6694805abc

Observation feba8d01-9de9-46eb-8ea3-1372e9003797 · outbound

This paper cites Embedding-based retrieval in facebook search,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Embedding-based retrieval in facebook search,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.229053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.836410Z digest=sha256:bdf0fa04fb32ad5d271caf13965ab59082f5403ed283e457f86b566d01f7f318

Observation b3b3829f-4abd-44d6-a50c-1c44437fcf8c · outbound

This paper cites One embedder, any task: Instruction-finetuned text embeddings,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents One embedder, any task: Instruction-finetuned text embeddings,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.211906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.841748Z digest=sha256:405c2a35e489d377d765f2fd9923c77c7f199bb08be3afb513002587da5784b0

Observation 4284f062-152c-4ad8-8450-d152679c6498 · outbound

This paper cites Mistral 7B.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Mistral 7B

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.847447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.847447Z digest=sha256:b5d83c536885887e1ad30e9934dfd5f4d8e063a488888a2e4418ba89593ed256

Observation 7927ed40-1018-4e97-ba40-c9aa4b5ff48c · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Gemma: Open Models Based on Gemini Research and Technology

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.853835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.853835Z digest=sha256:6a5abccbbaabd5531b319608e8374f07b0349cef712762bad42a3d15638d7527

Observation 5af7f5a4-a2e0-4fb7-920e-ae6e1cbd8340 · outbound

This paper cites Where do i start? algorithmic strategies to guide intelligence analysts,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Where do i start? algorithmic strategies to guide intelligence analysts,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.194192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.859629Z digest=sha256:d819e5073bab3d849b8a9af360094dff39b25c047209ef2d8d4bd74a56ef1c5a

Observation 9723589d-8ff1-48f0-b25f-f012717ddb8a · outbound

This paper cites Principles and tools for collaborative entity-based intelligence analysis,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Principles and tools for collaborative entity-based intelligence analysis,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.176169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.869452Z digest=sha256:a4f5409f54f2b32285bba476b6fce374d15503e44f332a6d89d7cd564b2045d7

Observation b6acc5fa-b08f-4a75-a970-b6f5c85259ae · outbound

This paper cites Storytelling in entity networks to support intelligence analysts,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Storytelling in entity networks to support intelligence analysts,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.157323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.875083Z digest=sha256:0cd4c1fc1b1cb9fe6823b2228d9083de293695e25934afae32d128c1ce004520

Observation 38b40cec-7ef0-4823-bf82-dc017afe84b6 · outbound

This paper cites Entity workspace: An evidence file that aids memory, inference, and reading,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Entity workspace: An evidence file that aids memory, inference, and reading,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.137434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.884236Z digest=sha256:c67652dd45b89c885f597232a8a4a2949ab26e6e13327c5cf56ffc5b95c15fb6

Observation 548b0295-14a2-4c0f-9a71-87dccead26ff · outbound

This paper cites Combining computational analyses and interactive visualization for document exploration and sensemaking in jigsaw,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Combining computational analyses and interactive visualization for document exploration and sensemaking in jigsaw,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.119113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.891335Z digest=sha256:30a5269fc05811bbc964f7d0de7430d27a43700cee150d820b8ebfcfee2717bb

Observation ba90782f-f9db-43b2-81a1-6f061f9cd7b2 · outbound

This paper cites Jigsaw: supporting investiga- tive analysis through interactive visualization,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Jigsaw: supporting investiga- tive analysis through interactive visualization,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.100092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.898085Z digest=sha256:5068ac3204566e0f50d9a16255ae90f6dad7c60b0b042bbdd591b238e584c61e

Observation 08116e0a-9341-4843-89fa-86d61077aa77 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Modern hierarchical, agglomerative clustering algorithms,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.082102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.904315Z digest=sha256:96f5f9dd420dc3589d6f4ac99c8258b8ea8dde951c299dcef9ae3779911067e7

Observation edede713-ddd6-47cd-bff8-dd4f9ec28cd0 · outbound

This paper cites Birch: an efficient data clustering method for very large databases,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Birch: an efficient data clustering method for very large databases,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.064128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.910567Z digest=sha256:a19f91fd2c28b47ddcd45dff04cf5fa5fa0c43231777e86ab91017a92f8c98eb

Observation 8b516e60-e880-46a1-9cb5-4c2a29da89b9 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Rouge: A package for automatic evaluation of summaries,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.916289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.916289Z digest=sha256:f969570f1acb5c0320ff8d71772b5f81867856c77980fa6e1af1e20765bdefde

Observation f5f2a334-77e7-4425-98c6-ddbae986cc8b · outbound

This paper cites Meteor: an automatic metric for mt evaluation with high levels of correlation with human judgments,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Meteor: an automatic metric for mt evaluation with high levels of correlation with human judgments,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.034790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.921467Z digest=sha256:d39545bcc244edbbd50eea09f65861ad1a4cd3c3b1540b4a6a24eb3bd4c819a5

Observation d6930612-c5ad-4e84-9031-c9db5ff16bf5 · outbound

This paper cites GPT-4 Technical Report.

LLM Augmentations to support Analytical Reasoning over Multiple Documents GPT-4 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.926920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.926920Z digest=sha256:8336e15531d4266502c95f434d6a9c04933ca1df05b5840ac2290d27cb61e949

Observation 3c473a1a-6788-482a-84d6-dfd371f60537 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.017871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.932275Z digest=sha256:9d8e1db21e86dc0fdd8b08d5a54bfca590c07ce84167aada11b9e654917eb741

Observation 555a7169-3c26-42c0-adad-edb59dc0fff4 · outbound

This paper cites GPTScore: Evaluate as You Desire.

LLM Augmentations to support Analytical Reasoning over Multiple Documents GPTScore: Evaluate as You Desire

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.937727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.937727Z digest=sha256:70a1f9d7faff2bd26c6bd2db1ae31d0d1ce11f115ce5e2faddceef4c9c65b0a9

Observation 3c8bd8cb-bfd3-46f0-ae0f-743a82667f17 · outbound

This paper cites Generative Judge for Evaluating Alignment.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Generative Judge for Evaluating Alignment

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.943276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.943276Z digest=sha256:dce1cc05e03c917882c82dc1593bd58ecc8a5db3b036ea38ab2b6b482e42102a

Observation 5761062c-4fdb-49db-8c14-245720ef9903 · outbound

This paper cites An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

LLM Augmentations to support Analytical Reasoning over Multiple Documents An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.948723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.948723Z digest=sha256:8fef10bf1a306ca988a1eb5a25e3dff82c74969931d55e775fb8a11e7f001460

Observation 75ac56b7-dcb6-4e3b-a2a5-33bde934c0b3 · outbound

This paper cites Is gpt-4 a reliable rater? evaluating consistency in gpt-4’s text ratings,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Is gpt-4 a reliable rater? evaluating consistency in gpt-4’s text ratings,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:50.001341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.954571Z digest=sha256:fc775d9bce0856993a49a7e7c1818266324d5fa5b63e6936d9e92ca818c104c5

Observation e68ac3ed-5b32-44f7-8074-b137d0eeeedd · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.959701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.959701Z digest=sha256:c66dc14c6e787ff93583ea3699c2c8e7800525bdfea23c0035f5327dff1e341c

Observation 1b5bb2c8-2174-4ea5-a394-f1f6a68db120 · outbound

This paper cites LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 39

Resolution
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no resolver link, observed 2026-08-12T13:34:48.965055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.965055Z digest=sha256:3289e0b09620f5828a90e83d7d98e98847aa8e2b940348914ce85d94684f8cca

Observation c4a211ed-c134-4ee7-b3ce-9864ab9dcd76 · outbound

This paper cites Automatic Story Generation: Challenges and Attempts.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Automatic Story Generation: Challenges and Attempts

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.970516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.970516Z digest=sha256:9569cfb36b622876957e6489a5839c3e60f639f4868608a2dcbddb94aaab1d81

Observation f0fc34a7-8fb8-4989-bc97-84d36df7d236 · outbound

This paper cites gkamradt/LLMTest needleinahaystack,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents gkamradt/LLMTest needleinahaystack,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.984947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.976076Z digest=sha256:6bb3cdded1dde06869aba073bc3d341ad395cdab30fee91097f719c598ef9ef4

Observation 95630ef9-7b12-44e1-bae4-fb204437ef6d · outbound

This paper cites Lost in the middle: How language models use long contexts,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Lost in the middle: How language models use long contexts,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.968831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.981164Z digest=sha256:106335528fb700d718cd8be25c27bf85588bdfa39d371d802560f5b1655c6787

Observation c1b8f89f-985a-4bf8-ab6d-58947229a7f2 · outbound

This paper cites Learning to Reason with LLMs.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Learning to Reason with LLMs

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.951796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:48.986047Z digest=sha256:0882911cbd62a70ab97310874695c91b7010a4d7e00af45cd7767b6f3714ab44

Observation f294a0ac-badc-4789-8893-9242fc83857a · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

LLM Augmentations to support Analytical Reasoning over Multiple Documents BERTScore: Evaluating Text Generation with BERT

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.991342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.991342Z digest=sha256:88fa6f942bfab610226de0682f899109f9c84ec34d14937871228f59b6557c78

Observation 46de8d41-b5b3-4b2e-897d-ba747a1720ef · outbound

This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.

LLM Augmentations to support Analytical Reasoning over Multiple Documents G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.996642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.996642Z digest=sha256:041d9b8385f255b8fa42f86dfbf73a5ecb86022a38ca525f765a1c621c5dffbb

Observation 41352ee6-33dd-438d-ad80-d43e9dfffd17 · outbound

This paper cites Crescent Train New York, Atlanta, New Orleans | Amtrak.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Crescent Train New York, Atlanta, New Orleans | Amtrak

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.935351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.001738Z digest=sha256:d67ae508355a72659921a59890eaa0ff4e777a76e0ed636971ce66123f35110e

Observation 62ccd8f8-422b-4ecd-867e-7ded7f50f0df · outbound

This paper cites The flan collection: Designing data and methods for effective instruction tuning,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents The flan collection: Designing data and methods for effective instruction tuning,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.918275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.006766Z digest=sha256:490371f517ff07af13f5a4df0e71839004d4d0a74cf4f624c92dd5fb627727ef

Observation f6e6c9c3-3b77-4d83-a15a-4e7e70ad4dbc · outbound

This paper cites PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts.

LLM Augmentations to support Analytical Reasoning over Multiple Documents PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.011810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.011810Z digest=sha256:d1d8203f8e9ebac59bf7aba1baa08d99d004fac08638dd65f1e37b1bdbdca199

Observation 5ac1c42e-44e1-4d5d-acbd-659913e2d962 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.017021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.017021Z digest=sha256:4959b0a981588d73783c9173fff4d4ec4b9abccdafe4b3cbc8e2ed0af3a6e14e

Observation 94b067a7-b2f0-4b75-bbf0-43f83a4364b0 · outbound

This paper cites Mathematical discoveries from program search with large language models,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Mathematical discoveries from program search with large language models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.900423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.023148Z digest=sha256:ad6172a19317acebcd5960a1c0e70e1d0b763a40222b35a6271a09e255419e39

Observation b66efe88-ab80-4f5b-80bb-a16ed4af366e · outbound

This paper cites Pirolli and S.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Pirolli and S

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.881280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.029119Z digest=sha256:8e39737d4603f9010e59be655fe3f7ed3f12fd738c4bed0a95cfeed8e09efa53

Observation fc1ed4a1-f5db-4c93-83e9-91b94d79ba62 · outbound

This paper cites A Data–Frame Theory of Sensemaking,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents A Data–Frame Theory of Sensemaking,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.863390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.034699Z digest=sha256:878e782434be3d9b7c99f0cf48adba0d92f8c9440c1cd12a24ec9b0a6695bd8a

Observation e2c71018-363c-424a-a9dd-2b26f6329662 · outbound

This paper cites Model-guided information discovery for in- telligence analysis,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Model-guided information discovery for in- telligence analysis,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.845683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.040390Z digest=sha256:be7f36881eb05bed4080144b7f7d72599dddf5b7a718fae2d58939c6fa4a9c3d

Observation 8bf85aed-0161-4e5f-bbf6-472c22399b11 · outbound

This paper cites A multi-agent system of evidential reasoning for intelligence analyses,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents A multi-agent system of evidential reasoning for intelligence analyses,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.828427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.045275Z digest=sha256:fa01eeb559bbdc5307d95929878633105f0fc43bc09f22d356817172a603d2de

Observation f924c3e7-6c6e-4d1a-9a49-1885d036d37d · outbound

This paper cites Interactive Storytelling over Document Collections.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Interactive Storytelling over Document Collections

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:34:49.298766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.050445Z digest=sha256:671545bc39399443133dcaf59036454d5ebe839640f0bf5b5a15521fc1ea573e

Observation f0856303-0f37-4d14-9e2f-fd6616ea418f · outbound

This paper cites The human is the loop: new directions for visual analytics,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents The human is the loop: new directions for visual analytics,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.811248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.055699Z digest=sha256:f5063639f324f011f058cd1b84bab6ced7d8e2b949558e758d9e8007022d9701

Observation d4923a11-e777-4d95-94e1-80604aaa8ef0 · outbound

This paper cites Helping intelligence analysts make connections,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Helping intelligence analysts make connections,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.793507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.060644Z digest=sha256:8e3e3046ddf2c36133ac10e4894b3a83a0477b7f527aafbc6abfa9297ea3b52b

Observation 0d5a67bf-2324-427c-af8a-ecb387e6c17d · outbound

This paper cites Spaces to think: A comparison of small, large, and immersive displays for the sensemaking process,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Spaces to think: A comparison of small, large, and immersive displays for the sensemaking process,

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.773853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.065623Z digest=sha256:565357abb75fc69175d29c7e34677af19b2ea84f06765ce18c6b0ceb354a60e9

Observation 7e4024f8-ddae-429f-82f8-75fa8825611e · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Retrieval-augmented generation for knowledge-intensive nlp tasks,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.755271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.070442Z digest=sha256:a28acabf0c739ef067b3a8bbf7b4f4af2391673844dc381fb9af1bf9c655e167

Observation 368a3979-523b-46e8-a559-b77a169afd17 · outbound

This paper cites Training Language Models with Memory Augmentation.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Training Language Models with Memory Augmentation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.075229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.075229Z digest=sha256:52a5836cc800ea107e2d0cc1c92dba9304f891e6980587607775632a2f83d28d

Observation 03e88976-66df-431a-aa8c-3db6479191e8 · outbound

This paper cites Self-knowledge guided retrieval augmentation for large language models,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Self-knowledge guided retrieval augmentation for large language models,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.736478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.080933Z digest=sha256:22e27c0e1955e08770b8ee3d45b49ca509e9ff0fc6ac641d25fe2534332d646b

Observation 314f92ee-781d-4e81-808e-1cd14f1f3f76 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.086245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.086245Z digest=sha256:784c4b26bfef7cab24ec532d786719938fa2e2aede78a9c54c048b4d964ce6f0

Observation 0385d6c4-bb41-4a1d-a67d-051051f96c78 · outbound

This paper cites Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.091963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.091963Z digest=sha256:92fe2e6c866a824d4123ec5f0936252adc7cd54bc99143d375a85179ebed970b

Observation 9da933c3-b1c4-4508-930c-387fa9cd2e2b · outbound

This paper cites Chameleon: Plug-and-play compositional reasoning with large language models,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Chameleon: Plug-and-play compositional reasoning with large language models,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.717615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.097052Z digest=sha256:7be6a8a95b63e24f35e552bffd9b2f5fdfe3b2faef5f78af814f089e525e2bf6

Observation d4064868-eab1-4cb8-80f2-e5358369b8ea · outbound

This paper cites Toolformer: Language models can teach themselves to use tools,.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Toolformer: Language models can teach themselves to use tools,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:34:49.698425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:34:49.101986Z digest=sha256:4eae1be7d86434ac5332c1d5ccddf045ade9b33b9aaeeb29a45643580e59d8b8

Observation e4d0450f-5c5c-48d8-9efd-34db7aa40946 · outbound

This paper cites Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT.

LLM Augmentations to support Analytical Reasoning over Multiple Documents Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.106999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.106999Z digest=sha256:b63053a35469959f9ba2d30371a14b23c37dafafab10103b78b11d54759db0c5

Observation f746a590-a00e-469f-8ebf-1556fb80beef · outbound

This paper cites MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning.

LLM Augmentations to support Analytical Reasoning over Multiple Documents MRKL Systems: A modular, neuro-symbolic architecture that combines large language models, external knowledge sources and discrete reasoning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.112329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.112329Z digest=sha256:06f5207391a0a80a9c40eb3d4139af63df630707e4c85763b6277acf28a365dd

Observation 237cf4e9-be7b-45c8-b820-9982811043af · outbound

This paper cites TALM: Tool Augmented Language Models.

LLM Augmentations to support Analytical Reasoning over Multiple Documents TALM: Tool Augmented Language Models

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.117354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.117354Z digest=sha256:dc2fd2692e1b68ddb0e063f88ddc0491d09387c18876ed5a9fee2fbce00161a8

Observation 29b1ed41-b315-4249-9634-c17f9cf28882 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

LLM Augmentations to support Analytical Reasoning over Multiple Documents ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:49.122694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:49.122694Z digest=sha256:0a1eccc9b0c5e6eee4e3d285614250d735a9f8b4432008d88fa394fa10db28d4

Pith citing papers

Observation 0feb7a87-a5dd-421c-aabd-0fb3f736b6ea · inbound

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation cites this paper.

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation LLM Augmentations to support Analytical Reasoning over Multiple Documents

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:24:49.883214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-30T15:22:12.675862Z digest=sha256:519a53fc3c55e8486cbbff776f2e835e340359da1d0d84b83994645c0d19c520