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Paper Citation Record · LEDGER

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 9 inbound Pith citation observations for arXiv:2508.01674.

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

pith.paper-citation-record.v1
2508.01674 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:29:11.929736Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:53:02.636523Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact3
  • verified fuzzy13
  • unresolved7
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e97504a1-2601-439b-a879-2636cb185bb6 · outbound

This paper cites Adversarial Patch.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Adversarial Patch

Reference 1

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no resolver link, observed 2026-08-06T05:29:09.980173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:09.980173Z digest=sha256:c51796d434bdfc36884dd434962f84a1fe7b68724aae79be8c8ab9efb6428f56

Observation 7b8ba5f6-a93b-461a-86f0-c8e6896c31ab · outbound

This paper cites Encoder-decoder with atrous separable convolution for semantic image segmentation.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Encoder-decoder with atrous separable convolution for semantic image segmentation

Reference 2

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no resolver link, observed 2026-08-06T05:29:10.056219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:10.056219Z digest=sha256:4aaa81dbdbf3ae8a9b915d98b60810916818d72f4c1a7ac49d00947594bd1adf

Observation c133d6f3-4955-4f75-a8ca-e01c6bc3effc · outbound

This paper cites Robust physical-world attacks on deep learning visual classification.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Robust physical-world attacks on deep learning visual classification

Reference 3

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raw_fallback, observed 2026-08-06T05:29:17.403045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.215904Z digest=sha256:fd4262b79a7ef96e3eec0087b19b47b86b1325d2cf033d2869b9bf4015ffa2a9

Observation 6b2df2e8-1644-454f-890d-c704c998ac49 · outbound

This paper cites Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Maximal Brain Damage Without Data or Optimization: Disrupting Neural Networks via Sign-Bit Flips

Reference 4

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local_arxiv, observed 2026-08-06T05:29:13.312491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.381675Z digest=sha256:5872e696dd0cb69b431fd9750d76e5d548d3acd4b2ce76270f57ba891ed63a68

Observation 5dff6bc0-5475-4e14-829c-3560e4010321 · outbound

This paper cites Deep residual learning for image recognition, 2015.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Deep residual learning for image recognition, 2015

Reference 5

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raw_fallback, observed 2026-08-06T05:29:17.155563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.449989Z digest=sha256:c0dadba80d7922a43b37563f22f57fa3c44221536b35acb39bdb765bb65d9f44

Observation c9b0c5db-e4ff-45bf-adec-79fb21c31d39 · outbound

This paper cites Lavan: Localized and visible adversarial noise.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Lavan: Localized and visible adversarial noise

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T05:29:16.855629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.504668Z digest=sha256:09e91bcdfa9a80749a548d5b287dcb472eaee346c28fe52cb05a9ee274064f10

Observation a132407b-ac6d-4a4f-8683-3d510c9e287e · outbound

This paper cites Hysteresis activation function for efficient inference.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Hysteresis activation function for efficient inference

Reference 7

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raw_fallback, observed 2026-08-06T05:29:16.593812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.582431Z digest=sha256:6a87b4bc4c1860c546b47202711eda65860e30306e744e62ace37bc48970464e

Observation fe85bede-c671-4fbc-a9e6-d13d8f8d5544 · outbound

This paper cites Noisy Annotations in Semantic Segmentation.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Noisy Annotations in Semantic Segmentation

Reference 8

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no resolver link, observed 2026-08-06T05:29:10.644637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:10.644637Z digest=sha256:e6dc72b8182d6b6265ffa1b8507c299718986ecf436c40ae3092b30e0ec5ad04

Observation 422bded7-8ce8-424f-8861-ea3bb06ef06b · outbound

This paper cites Semi-supervised semantic segmentation via marginal contextual information.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Semi-supervised semantic segmentation via marginal contextual information

Reference 9

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raw_fallback, observed 2026-08-06T05:29:16.365944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.693545Z digest=sha256:590d3efe27cded70b37c162a7597f1788ab7ec3b8585a66cda3b2583ef96dd69

Observation 6f2b5774-0c28-463a-8a20-0854279c1ddf · outbound

This paper cites Robot instance segmentation with few annota- tions for grasping.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Robot instance segmentation with few annota- tions for grasping

Reference 10

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raw_fallback, observed 2026-08-06T05:29:16.087141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.745709Z digest=sha256:a686ce062095ba530f4d11814f491c1ac4a73762806b962d8ac82d9047bbf0f6

Observation 7d3cc266-c8df-4a79-bf7a-bbb51314f71f · outbound

This paper cites Generative dynamic patch attack.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Generative dynamic patch attack

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation fa086b18-5fe7-4a8c-83e4-ca6b406925da · outbound

This paper cites Complex FIOs and composition of Toeplitz operators.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Complex FIOs and composition of Toeplitz operators

Reference 12

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metadata mismatch
local_arxiv, observed 2026-08-06T05:29:13.075285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.879305Z digest=sha256:06b92ea20ad9330832e47d3eb01de2d342dd1e33b0f0ada85596f392eed8aa07

Observation 66fdb48d-88a0-4b5e-bd45-4be070a7513b · outbound

This paper cites Perceptual-sensitive gan for generating adversarial patches.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Perceptual-sensitive gan for generating adversarial patches

Reference 13

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raw_fallback, observed 2026-08-06T05:29:15.604584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:10.964248Z digest=sha256:a0b2bad6c31fe396a8b63b4229eb29895b80ec7b0853ace6cf62aefd2d2b484f

Observation 8838253e-014d-4ec5-8958-d92b7156c625 · outbound

This paper cites Generating adversarial yet inconspicuous patches with a single image.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Generating adversarial yet inconspicuous patches with a single image

Reference 14

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malformed identifier
no resolver link, observed 2026-08-06T05:29:11.042928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:11.042928Z digest=sha256:57e6af7236ab67d06f1f5c3e39e26e9622e130af3a91b8ddd6afbd3ee31fe87b

Observation e2e4cfd3-9243-4db0-8a1d-129664073ee5 · outbound

This paper cites Adversarial training against location-optimized adversarial patches.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Adversarial training against location-optimized adversarial patches

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T05:29:15.413701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f452ae0e-4f2a-4c1a-bc25-cb667a6571d6 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions U-net: Convolutional networks for biomedical image segmentation,

Reference 16

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no resolver link, observed 2026-08-06T05:29:11.155630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:29:11.155630Z digest=sha256:aec9bbb43ef660f7449125c5510a96705311ea8b7837076dd588964227ce6b0b

Observation 81be58a5-ae31-49b8-b645-6b848e9f58e3 · outbound

This paper cites Mobilenetv2: In- verted residuals and linear bottlenecks.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Mobilenetv2: In- verted residuals and linear bottlenecks

Reference 17

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arxiv_id_nonexistent, observed 2026-08-06T05:29:12.813977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.235215Z digest=sha256:ceae3bfead9c8fca5174ff4b4e7b7b8bb5a5946c6ec3ae3f07808ac42049f0da

Observation d1f9a9b3-8685-4d5e-bd55-8f6de8fa67ff · outbound

This paper cites an unresolved cited work.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.316676Z digest=sha256:f8c9ba26826558331b8e7355f3acd8f8d3ae8db75bc363a75ebb952ae46bcb96

Observation 40a6bb96-5082-41ac-a73d-f3efee249bd4 · outbound

This paper cites an unresolved cited work.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.402144Z digest=sha256:c00a452bc87a7235e0b7c5daa6baf98bd679717bb2bd79018168dd30c0a6c40a

Observation 6190ca0c-335a-4d82-9e40-aa6d65513c39 · outbound

This paper cites Adversarial retroreflective patches: A novel stealthy attack on traffic sign recognition at night.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Adversarial retroreflective patches: A novel stealthy attack on traffic sign recognition at night

Reference 20

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arxiv_id_nonexistent, observed 2026-08-06T05:29:12.437926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dd6be7cb-5dbf-4883-b8c0-261d67f1ea6b · outbound

This paper cites Simul- taneously optimizing perturbations and positions for black- box adversarial patch attacks.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Simul- taneously optimizing perturbations and positions for black- box adversarial patch attacks

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.574023Z digest=sha256:14fa627c0d4403c36e0c98ebbfa7a7dfd19b1830488a4667e105f7137089f431

Observation 58d7408e-0a13-469e-8d9a-9bc6e71399e4 · outbound

This paper cites Adversarial sticker: A stealthy attack method in the physical world.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Adversarial sticker: A stealthy attack method in the physical world

Reference 22

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.638642Z digest=sha256:e2cf498eda45f2a9d2241acade2f37d550cdb2ebbada841856a43ba095fa2b82

Observation 1e5de0df-b348-4ff6-857f-9895cc867fa5 · outbound

This paper cites Fast is bet- ter than free: Revisiting adversarial training.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Fast is bet- ter than free: Revisiting adversarial training

Reference 23

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raw_fallback, observed 2026-08-06T05:29:14.094210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.695202Z digest=sha256:a0c84af16b77d9603319dd8cea70597fc96a3c1df68f1c9649e22006f77d9e01

Observation 6143c69a-0940-4680-ab10-73aed95caf66 · outbound

This paper cites Patchattack: A black-box texture-based at- tack with reinforcement learning.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Patchattack: A black-box texture-based at- tack with reinforcement learning

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.929736Z digest=sha256:68e9e77745707bae7acd6f57474701e72431b4f121c00312daaecac58c3c9cfb

Observation 24295cdc-4393-44e9-a4e9-69e48bd9451c · outbound

This paper cites an unresolved cited work.

CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions Unresolved cited work

Reference 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:29:11.807105Z digest=sha256:088ec9c24ec90870cd614a751880a3b2809474a2e0754bfaae7330e9464ac841

Pith citing papers

Observation 0811e8b1-6b80-4c70-ae9a-8fc9fb1516d7 · inbound

Synthetic Interaction Data for Scalable Personalization in Large Language Models cites this paper.

Synthetic Interaction Data for Scalable Personalization in Large Language Models CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 26

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unresolved
no resolver link, observed 2026-08-02T23:53:02.636523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:53:02.636523Z digest=sha256:7840581aa0ef1160228799cad1b18b476843fe13d9be6a04c9763ec18a13dba7

Observation 2043bdc2-dbb4-4c50-b117-c7a530fbd495 · inbound

Mitigating LLM biases toward spurious social contexts using direct preference optimization cites this paper.

Mitigating LLM biases toward spurious social contexts using direct preference optimization CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 14

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metadata mismatch
arxiv_id, observed 2026-05-13T20:33:14.753268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:33:04.433907Z digest=sha256:b9e2b606edda6cdda358a0ad0a7c0113d4468688014e73ac6688a912ee480a01

Observation 199de5f2-70b5-4d50-9d54-c8be36bebc7e · inbound

MAESTRO: Adapting GUIs and Guiding Navigation with User Preferences in Conversational Agents with GUIs cites this paper.

MAESTRO: Adapting GUIs and Guiding Navigation with User Preferences in Conversational Agents with GUIs CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 24

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verified exact
arxiv_id, observed 2026-05-10T20:05:45.615402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T20:02:40.914246Z digest=sha256:8bb76f4b132b5d67e6ccf16cc31a962ac621797830734502669421478b1600df

Observation 3ce2e4f2-33a9-4755-833b-76a9552bec20 · inbound

From Words to Widgets for Controllable LLM Generation cites this paper.

From Words to Widgets for Controllable LLM Generation CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 24

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verified exact
arxiv_id, observed 2026-05-10T21:30:51.099347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:30:39.143556Z digest=sha256:8922f3a3092fe4b027b17ad1434ae0f9fcbfd5cd78a20ed34d1388065658b3d9

Observation 3afe0854-a117-430f-934f-ecad5f60dc43 · inbound

From Words to Widgets for Controllable LLM Generation cites this paper.

From Words to Widgets for Controllable LLM Generation CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 24

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unresolved
no resolver link, observed 2026-07-14T19:46:03.847368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:46:03.847368Z digest=sha256:08917f5f96cefcd35e07136d7422d52d1b95793dbde0c2f114a8ec131a98f60a

Observation c181d427-e546-4f00-9a9d-d203a6caf934 · inbound

Latent Preference Modeling for Cross-Session Personalized Tool Calling cites this paper.

Latent Preference Modeling for Cross-Session Personalized Tool Calling CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 11

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metadata mismatch
arxiv_id, observed 2026-05-11T12:06:02.820330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:12:08.560864Z digest=sha256:e975e22416875827dd53388eef5415a4e1d3d3eb79fa28a67ea1ff6f2f933378

Observation 23d8b66d-ddab-48ba-99f4-6f867ad0c019 · inbound

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization cites this paper.

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 34

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arxiv_id, observed 2026-05-12T06:46:25.822867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:01:23.060562Z digest=sha256:e76a3823dda777b3bdcc8e3277c8835d327ba32d99ec27d9c3903046afe8d91d

Observation 85416362-c726-4044-b215-061e45902469 · inbound

Recall Isn't Enough: Bounding Commitments in Personalized Language Systems cites this paper.

Recall Isn't Enough: Bounding Commitments in Personalized Language Systems CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 5

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verified exact
arxiv_id, observed 2026-05-20T17:33:36.660930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T17:29:55.760720Z digest=sha256:f8b2beecaa558215a4e1f7f47365f7846c634ae3170d05350777fb2d2317a56e

Observation c832cf3f-0cac-40f2-872a-427c4a44f190 · inbound

PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents cites this paper.

PersonaTree: Structured Lifecycle Memory for Person Understanding in LLM Agents CUPID: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:47.857762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T06:15:46.136701Z digest=sha256:c4a1e725efc5b88cce920b0651a893af502ed4bc7e28a6c4673f387b79763412