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Paper Citation Record · LEDGER

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering

As of 13 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2411.11344.

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

pith.paper-citation-record.v1
2411.11344 v3

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:41:44.744682Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:36:40.704514Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:36:40.748478Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact4
  • verified fuzzy18
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ead94172-d032-4024-9199-d969da3979b0 · outbound

This paper cites Common sense or world knowledge? investigating adapter - based knowledge injection into pretrained transformers,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Common sense or world knowledge? investigating adapter - based knowledge injection into pretrained transformers,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.612368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.542897Z digest=sha256:5d91dc75e8034f8be77dcfa9a8a77a280e8ba80caf8a46d60102bc87c9afb367

Observation 3947566f-e92a-4184-b96c-58ef065b59d6 · outbound

This paper cites ToTTo: A Controlled Table-To-Text Generation Dataset.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering ToTTo: A Controlled Table-To-Text Generation Dataset

Reference 2

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unresolved
no resolver link, observed 2026-08-12T18:41:44.548522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.548522Z digest=sha256:2e10f94f21f27a5f59fed0eea1dc0098822c1ababed78708e67b8197bd8b5465

Observation af193ff5-f0a6-4076-ac92-ef81e531df6c · outbound

This paper cites Learning to Compose Neural Networks for Question Answering.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Learning to Compose Neural Networks for Question Answering

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.553625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.553625Z digest=sha256:c53ec6b62631cffb58f6599989e3a75f6d4d2b6f6f72a60b6d302e67ee5cabf1

Observation bc0c1108-59c3-40a4-a390-11882b43413e · outbound

This paper cites Llmeasyquant –an easy to use toolkit for llm quantization,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Llmeasyquant –an easy to use toolkit for llm quantization,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.558522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.558522Z digest=sha256:e8b466e7abaf9b6c18543563f58775a5bc67a90e8d66a7b6f9a1963d11a2bac0

Observation c0bdc67d-9214-4894-828d-f7c75c7ff3d7 · outbound

This paper cites Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Optimization and Application of Cloud-based Deep Learning Architecture for Multi-Source Data Prediction

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.563613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.563613Z digest=sha256:c44e57051118ec41123ab47d8b8b6ec1e8add981af0d0abb86f878781a579b5f

Observation 88e9e7fc-1607-4877-8a81-95b90b1b730b · outbound

This paper cites The Curious Case of Hallucinations in Neural Machine Translation.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering The Curious Case of Hallucinations in Neural Machine Translation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.568702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.568702Z digest=sha256:036cea87bf32ea9a33da40b6aa20332b044a9c0a53fbadd89402e8c01c16e6fa

Observation a1a01e42-f729-4fc7-ace7-bd4a3d6c55d2 · outbound

This paper cites Extracting training data from large language models,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Extracting training data from large language models,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.597681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.574238Z digest=sha256:60c9bef3ff0dc6ce6959817b40ae2a3da70bec6d4114b57ea52dba2afebd678d

Observation 7300f804-e1c9-4676-a2f6-a98f11feb38d · outbound

This paper cites Neural Text Generation with Unlikelihood Training.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Neural Text Generation with Unlikelihood Training

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.579373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.579373Z digest=sha256:5e7b65f55ea9dbe74bfe2e6dc113b672a4de88beed35ffc5fb889af135d2f84b

Observation de2e281a-b00a-4583-80e8-af512d632c0f · outbound

This paper cites Sdrtv-to- hdrtv via hierarchical dynamic context feature mapping,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Sdrtv-to- hdrtv via hierarchical dynamic context feature mapping,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.581716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.583917Z digest=sha256:26a7695d9f0e5e57474bdd85ac0fbe64ef51d42851aa6951bb2c808e950316ea

Observation 3acec453-0640-4302-abeb-38fba4de8ff2 · outbound

This paper cites Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Unsupervised Enrichment of Persona-grounded Dialog with Background Stories

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:41:45.186763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.588454Z digest=sha256:5e1fa9008fd4a849712b58643730acb53b5ff1336cf9b773a464da943e9ad2e3

Observation 25448a0e-da67-482f-bc72-305b9eb4faba · outbound

This paper cites Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.593481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.593481Z digest=sha256:67f66a6e3c19615c886b05f47c3ad3d6cb057d14e0a44462128cf27b39f4f232

Observation 061ea840-74cf-45f6-b06e-777ead69c191 · outbound

This paper cites Efficient fine-tuning of large language models for automated medical documentation,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Efficient fine-tuning of large language models for automated medical documentation,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.598569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.598569Z digest=sha256:dae7c93dd2bede84625013a31886c8626cec6c22bec0542c36c3948db146bbf7

Observation bd0de61e-4abd-4ae7-b93c-bc2c1808452f · outbound

This paper cites Alphanetv4: Alpha Mining Model.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Alphanetv4: Alpha Mining Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.603123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.603123Z digest=sha256:00b41ea5cb5d7121f06e12d3cb4456d71e25e7d6a82b17c7141f5af78de795e7

Observation 4d06a034-d6b4-460d-ae39-325bc8cf88d6 · outbound

This paper cites CTRL: A Conditional Transformer Language Model for Controllable Generation.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering CTRL: A Conditional Transformer Language Model for Controllable Generation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.607864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.607864Z digest=sha256:12cba41d3f7104765b4079076142194f9e6245220e06d08401e71b98e873e30d

Observation a6cfeacf-6acf-4757-8ebb-23554eebbeb3 · outbound

This paper cites Controlling Linguistic Style Aspects in Neural Language Generation.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Controlling Linguistic Style Aspects in Neural Language Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.612324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.612324Z digest=sha256:f303ca3ee5d444adc8dc1dea77325ea4335b235926b9efb03ab1fe2fce3e0588

Observation a0cc14bd-7a7d-4fe9-a572-ef08041af1f5 · outbound

This paper cites A novel bayesian pay-as-you-drive insurance model with risk prediction and causal mapping,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering A novel bayesian pay-as-you-drive insurance model with risk prediction and causal mapping,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.568443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.616789Z digest=sha256:da80509477bb4bb027787c90d3fda35474892ecbeda5d34c6cffbf75dec18926

Observation 32193d3f-755f-4fb3-bb14-fc7547fba4f0 · outbound

This paper cites Recursive balanced k-subset sum partition for rule-constrained resource allocation,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Recursive balanced k-subset sum partition for rule-constrained resource allocation,

Reference 17

Resolution
verified exact
doi, observed 2026-08-12T18:41:44.785514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.620858Z digest=sha256:8b4a0fbd3c411bf8f4a8bef3fdc79ac865b60b5ee98664fcce279759bac77f96

Observation a7601a26-9002-405c-bc32-f2ea4cb711e1 · outbound

This paper cites Selecting workers wisely for crowdsourcing when copiers and domain experts co-exist,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Selecting workers wisely for crowdsourcing when copiers and domain experts co-exist,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.552977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.625868Z digest=sha256:b4129747a3ff8b8ed9a64093e4aa376d0a6c6e3ab2e678ba192b99573d1cbe17

Observation a7825458-7e5f-44ef-9484-1c9a917c1ba7 · outbound

This paper cites Machine Learning-Based Research on the Adaptability of Adolescents to Online Education.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Machine Learning-Based Research on the Adaptability of Adolescents to Online Education

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.631110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.631110Z digest=sha256:ee8a32503f89df9ac86ff1665aee5c6f47904c67e37394670e4db81f1d9766af

Observation 013fe9de-4169-4041-a19b-0034361f0625 · outbound

This paper cites Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:41:44.956689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.647266Z digest=sha256:ec3cedec9876c5dc17648f8f02ef5ce9127a9629e97a94656358a0c3282d3fe0

Observation 8eeef975-cb5a-4852-982a-8cb37f7ec4d4 · outbound

This paper cites Enhanced self - checkout system for retail based on improved yolov10,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Enhanced self - checkout system for retail based on improved yolov10,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.538365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.652265Z digest=sha256:132892084b8178886e0ce25b569f341a4bdcfcab9c23235e41d1d5ae71c80ff0

Observation 2895c853-5f81-4e7e-a984-bc3b0702a0b0 · outbound

This paper cites Multimodalqa: complex question answering over text, tables and images,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Multimodalqa: complex question answering over text, tables and images,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.523527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.657068Z digest=sha256:985ee4a16ff70cb5bf48d613932240f5d9dd9836485734fb8bc6768ad325db3d

Observation f78b3966-c57d-4eee-a147-5657680f53c0 · outbound

This paper cites Measuring digitalization capabilities using machine learning,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Measuring digitalization capabilities using machine learning,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.509647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.661244Z digest=sha256:97fb06d4720112ce64e770b791b7f4dc2b58a8a5c0fa15e5501b7fc6f62cbb1b

Observation dd1a4639-939a-49cc-bbd9-ae0a4fed7fd8 · outbound

This paper cites Reading Wikipedia to Answer Open-Domain Questions.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Reading Wikipedia to Answer Open-Domain Questions

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.665773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.665773Z digest=sha256:95fd8ddad466982562abac9a3b0b353295607848bd4ce51f0e3544dcb5be9665

Observation 44cbddc7-58e4-453a-9d83-e877e1e9ddb8 · outbound

This paper cites Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Optimization of Transformer heart disease prediction model based on particle swarm optimization algorithm

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.671207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.671207Z digest=sha256:3fc7d29d5083eeeb5980a31f42d2e1d5747a50327bad3834f6ef6a66635dfe40

Observation 6f7a2c6b-166b-47a2-817e-5ce3812526a1 · outbound

This paper cites Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.676135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.676135Z digest=sha256:fc5a74d41dc7631f8cad98be151d83b97f34670cca6a84820c9aa2ddea72d2b7

Observation 3975c324-0eae-45db-9cfd-eb8c932f70f3 · outbound

This paper cites Real -time idling vehicles detection using combined audio -visual deep learning,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Real -time idling vehicles detection using combined audio -visual deep learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.494732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.681710Z digest=sha256:6860be6962cd102b73c50f1c7efd1a17c243bc6e034ea8ac9b2c6808c5c53253

Observation 78c37b44-f64d-4ff3-9d4e-ce36f89ec604 · outbound

This paper cites Handling divergent reference texts when evaluating table-to- text generation,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Handling divergent reference texts when evaluating table-to- text generation,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.479341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.686259Z digest=sha256:77186e968bf88afe5f7345683e677eb42a491c7fd2f63cfc48d7a28f940a07a1

Observation 71cadb9c-7baa-4663-8dab-1cf564f772db · outbound

This paper cites K -adapter: Infusing knowledge into pre -trained models with adapters,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering K -adapter: Infusing knowledge into pre -trained models with adapters,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.463577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.690905Z digest=sha256:7588fe141c994fe877fae9ba3f4a3f70d2864868c343a3b4bfc4b5e28911df70

Observation 89f0027c-bcf8-4049-bdc6-b50faef0d9d2 · outbound

This paper cites Efficient transfer learning for quality estimation with bottleneck adapter layer,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Efficient transfer learning for quality estimation with bottleneck adapter layer,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.447773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.695196Z digest=sha256:9e8876622dee26b4bc489650dc8ed90a39db420abe380eab937fd7050729ce2c

Observation 9e327939-3f40-4db0-b181-e7bd3ee05c46 · outbound

This paper cites Improving text -image matching with adversarial learning and circle loss for multi -modal steganography,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Improving text -image matching with adversarial learning and circle loss for multi -modal steganography,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.431291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.699233Z digest=sha256:515abbef5aac86f3651c83308ab538c93ccbcaed905c97013d492d2f1108db61

Observation cdf05288-48ee-4cf2-88bd-ab1d72e4c346 · outbound

This paper cites GraphSnapShot: Caching Local Structure for Fast Graph Learning.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering GraphSnapShot: Caching Local Structure for Fast Graph Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.703357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.703357Z digest=sha256:e30b4e721d7441480d0b85732a39e65f6e6f106bd7d4c29ad8d028d8be44cab9

Observation b52ff370-08ce-404d-8be1-3e7e7f6230b4 · outbound

This paper cites RATT: A Thought Structure for Coherent and Correct LLM Reasoning.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering RATT: A Thought Structure for Coherent and Correct LLM Reasoning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.707904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.707904Z digest=sha256:ffd091d4cd247084c459d7ea3a6ebac11daf9805067dd23fb446095352623fb0

Observation 81ed0ef1-97b4-4564-a547-0af07c6b3846 · outbound

This paper cites Irda: Incremental rein - forcement learning for dynamic resource allocation,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Irda: Incremental rein - forcement learning for dynamic resource allocation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.414730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.712077Z digest=sha256:10df8c7922357b6f530d17068cb32319b054ade5a92c7785691d3df659dbf427

Observation 641ec1ea-4b1f-421c-8f66-bce292913a3a · outbound

This paper cites Hurdles to Progress in Long-form Question Answering.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Hurdles to Progress in Long-form Question Answering

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.716131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.716131Z digest=sha256:51acb1270339b453f346ee2b32159156f26ec38565b30c6209680a73404d8363

Observation 9b265afe-9eae-451f-8372-b567f98e4632 · outbound

This paper cites KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-12T18:41:44.826688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.720756Z digest=sha256:2c21e545e4ea254ec68d01d497b5064b68bdda78f7724eac6a0489e6067bb0f4

Observation 7e4c3265-30d6-492e-846b-2eda5e530a12 · outbound

This paper cites Entity-based knowledge conflicts in question answering,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Entity-based knowledge conflicts in question answering,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.399149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.725500Z digest=sha256:b8de1e6ef5e7160dfc197f173ff367ac9555d8cb0d116418eb1bceaf62e3ab30

Observation e666f45e-1a99-4759-933b-41103d799493 · outbound

This paper cites Natural questions: a benchmark for question answering research,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Natural questions: a benchmark for question answering research,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.383841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.730814Z digest=sha256:9c75e50bbf222592f62d856d822b17540cbca6184e12b9af7aaa6d97e80bb544

Observation bbf2982c-3cd7-40ce-af38-e034956c5c2f · outbound

This paper cites NewsQA: A machine comprehension dataset,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering NewsQA: A machine comprehension dataset,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.367529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.735394Z digest=sha256:5d38e96642b442fe560d35e744cae1553e04458549893aa6dbcff0a952e03565

Observation 804b4908-a2ea-4e8f-939c-61b5c09d71dc · outbound

This paper cites Prototypical reward network for data-efficient model alignment,.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering Prototypical reward network for data-efficient model alignment,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:41:45.352142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T18:41:44.739869Z digest=sha256:e521f1a028f674b6eee8e13644cc2b9507d7b3a6050a83a52663c1706af17b95

Observation 3afcd524-8f2e-4bbc-a4cb-8d34e424f0d9 · outbound

This paper cites A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering A Consolidated Volatility Prediction with Back Propagation Neural Network and Genetic Algorithm

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.744682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.744682Z digest=sha256:8fafb812818395e94a1624ada8c57945ae09a055f89e6d46cc31ba9f6e431bd0

Observation 927834ea-ee5d-40c8-85fd-75069e7208d6 · outbound

This paper cites VQA: Visual Question Answering.

Mitigating Knowledge Conflicts in Language Model-Driven Question Answering VQA: Visual Question Answering

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-12T18:41:44.641665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:41:44.641665Z digest=sha256:868c2002f6687e52bb835698f1711de7145e28f04cfd7a5f439a593e84f240bc

Pith citing papers

Observation c39f184e-ca00-4fcd-ab22-27518f9ae6eb · inbound

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models cites this paper.

Enhanced Recommendation Combining Collaborative Filtering and Large Language Models Mitigating Knowledge Conflicts in Language Model-Driven Question Answering

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:36:40.756161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-11T04:36:40.704514Z digest=sha256:08fbe3d4dbfbb93112dd46c335e3c792e816ad51f50021e1fd41ad99615243dd