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Paper Citation Record · LEDGER

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting

As of 18 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2607.07858.

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

pith.paper-citation-record.v1
2607.07858 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T16:34:36.568244Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

58 of 58 outbound references displayed

  • verified exact12
  • verified fuzzy26
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e788b061-9669-4473-8254-0f0d0b21a673 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) 33 , year=.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Advances in Neural Information Processing Systems (NeurIPS) 33 , year=

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 8a94feb1-0870-4302-afde-995a44dc96ec · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.353173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d1ba09a9-bcb4-4578-a96b-fda1a5823e11 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Advances in Neural Information Processing Systems , year=

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9ce81626-7660-413b-ba06-2baa9de323a0 · outbound

This paper cites ACM Computing Surveys , year=.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting ACM Computing Surveys , year=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.400442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 63274fcd-8bf0-4b21-8cd5-8ef8874169de · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year=.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Advances in Neural Information Processing Systems (NeurIPS) , year=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.299310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:da243d092cd063f0f257497d2fdad0c31658ad2c445e9126de9c864f8e5192f3

Observation ab13da9c-8628-4a21-b9bd-2e5772688dc3 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.391909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:aa0267a5abf65d94bcebe13205c09fbbc79386721dd029681efa0a1262e4d6b6

Observation bd624a8e-4594-47cc-8f22-f48e3c99c681 · outbound

This paper cites 2019 , url =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting 2019 , url =

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:d68f7016f12428f214155092a242ede9ff10d14d794c83237ce42a632ab8e337

Observation da1a9e02-5679-4dce-9505-eb6df0e671cd · outbound

This paper cites 2024 , institution =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting 2024 , institution =

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 555b8f3c-391b-45ec-b4e8-8233fb0c6f04 · outbound

This paper cites British Actuarial Journal , volume=.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting British Actuarial Journal , volume=

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:982fd9f69e2b91726bbe534001c09bc204be1664fd73ed72ba667b52ff7cb6cd

Observation c5993c25-940b-4b33-8c60-0af2df2c3ef2 · outbound

This paper cites 2008 , publisher=.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting 2008 , publisher=

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:e015eeaf34ebeea03af4721ac6ea35863a96bcb7e15ce648bec66a84fe0060dc

Observation 13a476ea-b648-437b-9ec9-5f1a41f07f17 · outbound

This paper cites 2023 , howpublished =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting 2023 , howpublished =

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:4a68d609906fd191e57e0410dacfbb6cb8bcee7211df5ebe531661b06b30f799

Observation ca594d65-1091-4850-9386-3bcf2f8d5a4f · outbound

This paper cites and Chimedza, C.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting and Chimedza, C

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:68f72dc4ca55639ef31205e446d39bad8ddcced03a77f3c3cf84b3d1508be3c6

Observation 47303ada-28eb-4588-820d-82b9078e419f · outbound

This paper cites 2025 , institution =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting 2025 , institution =

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:0e7ca283b083c2ced376ff1c55f58d78d1d8f0b4c062879826845f0bfe31a013

Observation c8434b9d-be3d-4e4a-bfed-97a37e28779b · outbound

This paper cites e-forum of the Casualty Actuarial Society , year =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting e-forum of the Casualty Actuarial Society , year =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.392191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:d7270e19ba0359fad0201e619aa3b5a40619a7254845b043e3f3486cefb26612

Observation 5b0c7492-112e-4b03-8c3f-ae2aebc7d4ce · outbound

This paper cites 2005 , isbn =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting 2005 , isbn =

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.387124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:5209e8bbc7299799777083b2fb3204cb914093282447b08b1eb199680b619c18

Observation d28b6c30-8e8f-4354-8515-8a93e1facb24 · outbound

This paper cites The Insurer , year =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting The Insurer , year =

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.383729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:bbf0fb5b01ede94dbdc83f5d47a40488f09a2f262db04f85563f44768b3c8fae

Observation d27a6cb9-b3f0-4f91-8038-82bb6af05253 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.385424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:f19bd067a0da77958cf7fddb6a224b46dcd220abe2698ea88b3206e0de01428c

Observation 0ed9b0c0-4de5-4644-bf67-c856ee856cc4 · outbound

This paper cites ASTIN Bulletin , volume =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting ASTIN Bulletin , volume =

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.395337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2e136113-cde0-4ada-aee5-0d1cd1facdc0 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.397178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:f24f2ff5d65821ed971c827461734705c642677dee3b4bd4e1474ca085cc57e4

Observation 605865a2-80ac-498b-aa49-21974af9a3a9 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.377010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1442b1bd-052f-4baa-adff-9fd8c01dffa3 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.373632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:382e8cc3d0304f351e376ab8a3486e91aac302dfb16c34fbda931b91161a3e26

Observation e60a0905-a66c-433b-9d1b-b2e0a37976f4 · outbound

This paper cites Nature Machine Intelligence , volume =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Nature Machine Intelligence , volume =

Reference 25

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:cdaadc2f36684b49d24d562b2d5952d6193e360b1e4dd0243a05f2d16ed386ad

Observation b89cab1e-7fb8-4ddc-b397-3a06908808de · outbound

This paper cites Minds and Machines , volume =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Minds and Machines , volume =

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:bdb7273c42132ec9ce3f8037246963e59c3dcd129f6d32e8613976487d8ca087

Observation f49ceca5-577e-4487-8e02-14f58c410972 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.386972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:006711dbe27262c6bf968377de6c6838389afe1e4836d20bbd85e0aea7c5908b

Observation 6144dc8c-14f5-442f-9140-8dcba5ea8f00 · outbound

This paper cites ACM Computing Surveys , volume =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting ACM Computing Surveys , volume =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.401808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:7431e4c38c94c00e49affa901f6b13c98e0116addc9c21e2b41b7532aba6b379

Observation dc196b7d-54be-4646-bccb-b89651efb751 · outbound

This paper cites Transactions on Machine Learning Research , year =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Transactions on Machine Learning Research , year =

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7c6da2c4-cec6-4763-b5a5-9f170b9556ed · outbound

This paper cites International Conference on Learning Representations (ICLR) , year =.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting International Conference on Learning Representations (ICLR) , year =

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.398797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:ec1ab7a8a5f26024b844edb6b116556a3e731257e5ea7046bb2e8dd6a364f475

Observation 495a94c9-991a-49d3-b7fd-0ccc284b0351 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.381681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 585d9d60-5d26-49a6-b3e3-3b7ae9c2417a · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.388604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation f610f0ad-7e50-4c90-a709-4232b618f432 · outbound

This paper cites Agentic AI and Multiagentic: Are We Reinventing the Wheel?.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Agentic AI and Multiagentic: Are We Reinventing the Wheel?

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.026167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:964885b3ea6590acf2514b1d20b9564abe66644f7f73f047eb00b3f69d056cfe

Observation d1f7835b-0aae-40c6-bd03-656896a18cdd · outbound

This paper cites and Mathys, S.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting and Mathys, S

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.373218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:b581b5fe7741f57f0b300845eb71762c84e7b75e687ae9c8547899d4e691636b

Observation 2bedec59-6a11-4f7e-a2f9-bc0ef897fa90 · outbound

This paper cites Statement of principles on ratemaking.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Statement of principles on ratemaking

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.374897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:a27d9e883953cdd1c9e652c25817b2b0daf7ca49c04a1da3b691d55b6f98ea21

Observation 36060b7f-ce20-4d18-b2dd-02dee0a4dfca · outbound

This paper cites Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Towards Learning Contrast Kinetics with Multi-Condition Latent Diffusion Models

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.020154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:91b2428db7ec09b2b09c44ee7ba7ef2bd9a8282d428ea60449aec6693827c7ce

Observation 0dab2888-61dd-4065-9a96-d4d35497e47a · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.376525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:067520b7117a9f809fa9e1995f28ef12fda02063f4062abcfef8d22b0afb231e

Observation e072e9b7-965e-4dcb-9315-969fad1902e6 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.368273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:dfa7bdf514a7e5fe8fd3fe76ebd1d587195a13125a488213587ae28571531895

Observation 0c07b0fb-970a-49d9-a288-85efd28c5392 · outbound

This paper cites and Kunreuther, H., editors (2005).

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting and Kunreuther, H., editors (2005)

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.380016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:0410789bba6b5b92a80a9d9403bdac9f58b5e65da3928b5e17bb4425c35758cc

Observation b9991fee-7145-4a81-9a6e-2e539f233aed · outbound

This paper cites A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting A Comprehensive Survey of Retrieval-Augmented Generation (RAG): Evolution, Current Landscape and Future Directions

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.023458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:e5a1038994b65b4d0756b72c445741ca75e61f413cfa615e0034b17b1aad9d6b

Observation ea72424a-2253-45f4-ad4e-5ffb6a1884a0 · outbound

This paper cites Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Advanced Applications of Generative AI in Actuarial Science: Case Studies Beyond ChatGPT

Reference 48

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.003255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:3b962af3cde277cc81d76b896ce10218224352921f16149bfde535a64448e48c

Observation 437c5dfa-9890-4c0c-a169-2c7b96062e67 · outbound

This paper cites and Grave, E.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting and Grave, E

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.366975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:c177ce16d6e1eeaadc6ddd573cd7d5cdaf5a9d0e6c28e3ce63a7dde2e769a275

Observation b062d042-4a2d-493f-b212-fb5d23354dc1 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.365409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:586c7d16a2645783c81e7f5fc0b15cd554ae1ea39106354cbb9016b333eca2d9

Observation e45f6711-5b89-49a5-8e0e-5b45525a04ba · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.363651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:b11e8116a6fc73bdb46a2265976eadf0bb138d8a6616ad4c84ae6f2a971dd7d4

Observation 6d239f0f-d5f3-47f1-8fc7-0c5011d2a909 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.368450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:1772eb9ee52d3ec42bf2918ead69e30936c3ca15b8cd39901294c34f925af1fa

Observation 9b9e645a-bf55-4e80-b5b7-f646a6a72c49 · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.015284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:fe1667828110c3495a2c3252824b7e9b2f0080ed0597bf688223dcc727657cb4

Observation 1e3af8f7-17e5-470e-9a0d-9b767aeb67c2 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.006993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:78e7052ba9151dc54b9da38c11659493ea086d9eeb9048e7b75c09409a173734

Observation e4e76aaa-b82e-4984-a6b1-a233b0014750 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting AgentBench: Evaluating LLMs as Agents

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.011993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:5213886cf894dcfd45772ab87088653d060b6ac24bf92e8517e03c25e85a1744

Observation c7bf91b0-93e2-4b83-8cb9-d3d85ea54845 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.356722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:6ef5af98b0051d8e5a7a65ca30f9b57e7731d7786103493deeef9e7ddc1b3a7a

Observation ffdf2406-0990-4a78-b374-ed630f4f3f1f · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Self-Refine: Iterative Refinement with Self-Feedback

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.009444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:253c7643c6e855d7e927500aaf98f5043cbcfe53f331d5fdf5bf7620ef533958

Observation 00d8f582-36df-4e41-873a-0c2dc455530a · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.358385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:e02f17a8647d10011df2779fc72ca2877f4bbca2c814be28892d40c863bce223

Observation dc5e904e-3b4e-4bfc-8fd7-1f4941ee6115 · outbound

This paper cites Generative Agents: Interactive Simulacra of Human Behavior.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Generative Agents: Interactive Simulacra of Human Behavior

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.008901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:42e4126512e69f5c76de93d7b7054c99c93d6f8ba40196f56eff9c574b133249

Observation 18b6cdd1-ef38-43ce-bdd4-9139d0d2eaff · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.360107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:4c6f650e01f6e102c0f0ea9411861b28e62ca99488a2ed58206a3b56cfe5681b

Observation 953223a6-8bcb-4f62-acf1-3c5dbc8b68f1 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.354963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:588181c576cc55b9492f2e32692b73d792253b45d67581c279429890e366cdd1

Observation 3c2fbfe8-b34b-4c36-be4c-dab46c0f5de4 · outbound

This paper cites and Norvig, P.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting and Norvig, P

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.361773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:6951f1db6d5006642892e7966afbb1705ba45201d2241fcc0230447342f5320b

Observation b34511b9-b14f-4943-b687-d7cca6ad25e4 · outbound

This paper cites BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting BlenderBot 3: a deployed conversational agent that continually learns to responsibly engage

Reference 63

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.020882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:a3770d5b2066029f3f891e895065eaf3401aef090612dd769724421591a3ec3a

Observation cc6130a5-2b5f-4171-92d6-26c99ac6ba73 · outbound

This paper cites Chiral crossover vs chiral density wave in dense nuclear matter.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Chiral crossover vs chiral density wave in dense nuclear matter

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:23.022506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:b08f00321fbe5bad7305d11db2a83ce982e54ef89b65a5844226bf61ecef5c91

Observation 3ca5431a-3558-4b89-b0e2-47fc0a5fb466 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.336552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:4c79e1abacaedb0d6c9e3764452f14eea27236d7ce7573d5f8761ca69bd7aef7

Observation df374458-eb14-4725-ae2a-7302b888f06a · outbound

This paper cites Large Language Model based Multi-Agents: A Survey of Progress and Challenges.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Large Language Model based Multi-Agents: A Survey of Progress and Challenges

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-07-10T16:37:22.995198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:3a37efcaf3ca97cb33a8f2da6725215b3453348a9d11bddeb29e173c168517c7

Observation 7f5b2021-d489-48d5-b0c5-c60bc6a425f5 · outbound

This paper cites an unresolved cited work.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-07-10T16:37:23.332409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:b433a84d0cc4a5b2ba4db8eb03f72ab51784dae90ab1c9b79edadc8d281b57c2

Observation 9c21fed5-9796-4a19-9906-f4d40f0c5c2c · outbound

This paper cites J., and Liew, J.

Agentic AI and Retrieval-Augmented Models in Straight-Through Underwriting J., and Liew, J

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-07-10T16:37:23.370077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-10T16:34:36.568244Z digest=sha256:5ebf4ae35d37d2bd7aa5df7100a4a2f89e383ddedd4fcf1cfbaf9d37e29bf2a0

Pith citing papers

No inbound Pith citation observations are available.