Pith. sign in

Paper Citation Record · LEDGER

Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2407.11418.

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

pith.paper-citation-record.v1
2407.11418 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:44:34.445554Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f1122639-5d17-4fe4-88b7-c6f7ce4d1da9 · inbound

Variable Extraction for Model Recovery in Scientific Literature cites this paper.

Variable Extraction for Model Recovery in Scientific Literature Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-12T15:12:14.336390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T15:12:14.336390Z digest=sha256:14e002f080e3ab343398023dc198046527c3dc64594198befc22705afc47ec84

Observation 20e52081-f7bb-4534-9cb3-a6d6787f2aa4 · inbound

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering cites this paper.

TQA-Bench: Evaluating LLMs for Multi-Table Question Answering Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T10:09:45.090428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:09:45.090428Z digest=sha256:5ee1b6f48b1cd63090a959e3411c8c5729bf3911b6467a77b53e15ab5c952914

Observation 914e1760-dbdb-4220-a2c9-44f2da06e632 · inbound

CHASE: A Native Relational Database for Hybrid Queries on Structured and Unstructured Data cites this paper.

CHASE: A Native Relational Database for Hybrid Queries on Structured and Unstructured Data Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T21:24:21.390459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:24:21.390459Z digest=sha256:13cb8d0d1aecf37bf0a9ae4aa330b084b968343a37ef2cd55c2650100068a0d5

Observation ec1d6081-38d1-48c0-b44c-c98c155f8582 · inbound

Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations cites this paper.

Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T00:23:34.776004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:23:34.776004Z digest=sha256:40d7149406878ec4844ed41ef2d2c11345f2a69a069d0aa43bad6d11174f2b33

Observation e6516d01-c63b-4de7-b0ca-6b60d6b458da · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:14.487966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:14.487966Z digest=sha256:e55ebcca68808ce88bc5e5f497518efe81fada36892bc081642563441b908cac

Observation 02062cb8-9753-4a2f-bed1-30d0d8dc8261 · inbound

CoddLLM: Empowering Large Language Models for Data Analytics cites this paper.

CoddLLM: Empowering Large Language Models for Data Analytics Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-09T19:30:38.529866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:30:38.529866Z digest=sha256:63d43ba41e421ee26e64c66b32fe26c5513e196c61885d5fb8b2c228c7051f98

Observation 9e100510-7e7f-45a3-a9cd-231deba9496f · inbound

PalimpChat: Declarative and Interactive AI analytics cites this paper.

PalimpChat: Declarative and Interactive AI analytics Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T05:00:04.567608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T05:00:04.567608Z digest=sha256:1586af16d581e78bfa715a4f8b316aca9af4a9757f9c64c1a4e63cb88e4f6e8c

Observation 434c8ee4-c582-4bd8-a4d0-cc11ad25ce3f · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-05-23T01:37:22.320591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:247549642380be7f5cb4545b30833098dfb2a44186e9dc2933296e7e28d36300

Observation 4891001f-e0a7-44ad-90de-2c4563a78c3d · inbound

Steering Semantic Data Processing With DocWrangler cites this paper.

Steering Semantic Data Processing With DocWrangler Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T11:44:34.445554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:44:34.445554Z digest=sha256:ab5b08d4c488eccc88197341001ccab67daf6948ba42c456288be33a4157fe04

Observation 53540648-f8a8-493c-8e1f-b972c4829785 · inbound

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models cites this paper.

RelationalFactQA: A Benchmark for Evaluating Tabular Fact Retrieval from Large Language Models Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:32:48.953399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:32:48.953399Z digest=sha256:f924b32eba70ea10c1e81ec26560876bfe9aff91a2fcc61f76664a31391ab937

Observation d23efc55-d6d9-4c3d-b404-ce8bea3de92c · inbound

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:46:27.083779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:46:27.083779Z digest=sha256:570935a0a55f8d6c2667c312a598242b6af731de08cf3723083432232301d2bf

Observation 11093612-14a5-43cd-b3e9-210f0396d669 · inbound

Parachute: Single-Pass Bi-Directional Information Passing cites this paper.

Parachute: Single-Pass Bi-Directional Information Passing Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:04:28.208510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:04:28.208510Z digest=sha256:a0f8ec8d585d9288e57b3033ce39ffa0b1c4876c4b7e86ac5396e712bbbe6e82

Observation 84ebbd24-8410-40be-95f4-4bedb6c48911 · inbound

TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows cites this paper.

TableVault: Managing Dynamic Data Collections for LLM-Augmented Workflows Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T23:25:14.908289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:25:14.908289Z digest=sha256:9fcb26c5a36b7ba06b59b29a4fbb6ea829316f01be4b8acb17be03805981b04f

Observation 339c880e-981a-488d-a0f6-5e1c64b994df · inbound

The Case for Instance-Optimized LLMs in OLAP Databases cites this paper.

The Case for Instance-Optimized LLMs in OLAP Databases Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:31.511722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:31.511722Z digest=sha256:cd6c9c5a3abe079c71cf3071ade8e4cd59c3f22d7922db38476675b9c8b9d822

Observation 5684bee5-1637-46ee-aceb-5a7788246142 · inbound

QUEST: Query Optimization in Unstructured Document Analysis cites this paper.

QUEST: Query Optimization in Unstructured Document Analysis Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:10:17.645794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:17.645794Z digest=sha256:a3c3c13fd8d98b8de57af5cea25711580712b5edda7cca2e067ddd56cdbebaa4

Observation b06456c5-34cd-47b0-97a5-e47ce2bb9009 · inbound

Making Prompts First-Class Citizens for Adaptive LLM Pipelines cites this paper.

Making Prompts First-Class Citizens for Adaptive LLM Pipelines Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:01:56.433482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T00:58:13.697256Z digest=sha256:0574ed2ce41b64081967d05c4beb4178fba9ee35237f4372eb4bff1411daa021

Observation fbab88b2-beca-4b74-ae09-41a4db2e25ea · inbound

Metadata Management for AI-Augmented Data Workflows cites this paper.

Metadata Management for AI-Augmented Data Workflows Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-05T22:35:18.588857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:35:18.588857Z digest=sha256:77137e38861cb55343045ce43299bd67d3374131050d157e27011ea37fbc99e8

Observation b0150e30-c460-4524-bfdc-4aa2756e1b6b · inbound

Research Challenges in Relational Database Management Systems for LLM Queries cites this paper.

Research Challenges in Relational Database Management Systems for LLM Queries Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T14:46:05.918723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:46:05.918723Z digest=sha256:e10d040fb238cfabe5515e6f836559010b564ada8eee6d979e7d25b1c1ca7791

Observation 57dd11b3-f135-4904-916d-be48f5bd41af · inbound

SABER: A SQL-Compatible Semantic Document Processing System Based on Extended Relational Algebra cites this paper.

SABER: A SQL-Compatible Semantic Document Processing System Based on Extended Relational Algebra Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T13:49:37.983178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:49:37.983178Z digest=sha256:abc01a51d148052392d857b9d1674d8da702f94869d257e361375ae0231635cf

Observation 4fe02d44-fc60-46f3-9db8-05f670d67057 · inbound

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives cites this paper.

A Survey on Open Dataset Search in the LLM Era: Retrospectives and Perspectives Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:39.175987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:20:39.175987Z digest=sha256:5ba27fcf74aa90b0ca98a0d78b4bd3017d26120d7e93ad6f2b2708b1640dca92

Observation 7524453b-306d-4f96-8235-b26fc6b32bd2 · inbound

Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics cites this paper.

Deep Research is the New Analytics System: Towards Building the Runtime for AI-Driven Analytics Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:02.257828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:02.257828Z digest=sha256:3f33235cb7c2e8eec2b84dd96fbcebe0ff18b0af6786ee9fafbd920d31c0fd62

Observation e6afb8e2-ba8e-4098-8e04-0876b5778a27 · inbound

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees cites this paper.

Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T11:30:22.443524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:30:22.443524Z digest=sha256:e7ffc8e140b22e1b5325c4a175a141120c969a130889b5498359f1c5393adeaf

Observation 2839382a-b3bb-435c-891b-f466e468c2e5 · inbound

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections cites this paper.

ScaleDoc: Scaling LLM-based Predicates over Large Document Collections Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-22T12:41:33.468508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T12:39:39.823436Z digest=sha256:4bfb2dd3baaedb02799f45dee217477b2d8cbeb012c528756c083d36086d2e44

Observation 73089642-c7fa-4f6e-ba75-a209ad52a3fe · inbound

iPDB -- Optimizing Semantic SQL Queries cites this paper.

iPDB -- Optimizing Semantic SQL Queries Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-16T12:30:53.938792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-16T12:28:00.329457Z digest=sha256:39051da79e9c0a7de790a6550f1bb30b30fea8335f59830d97aaf1b813727a71

Observation 2495f921-1144-4dee-9c51-581c928326eb · inbound

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework cites this paper.

Memory in the LLM Era: Modular Architectures and Strategies in a Unified Framework Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:08:20.921030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T22:03:55.582645Z digest=sha256:14520199cf9c9bc5f1ac6a985f79f14406dd7f0a615717c19a7700b2bb98d72b

Observation 7698f517-2a9b-41a5-ac19-eac28f0140a5 · inbound

Semantic Data Processing with Holistic Data Understanding cites this paper.

Semantic Data Processing with Holistic Data Understanding Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:08:09.602944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T19:07:49.756349Z digest=sha256:040037458b2704a7fe16b2e3bdaac24ef3c7d17c271b1192304c392799568ddd

Observation 3f38f1dc-4773-496f-a703-d590b3597683 · inbound

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis cites this paper.

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-13T19:13:09.737236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T19:11:12.785715Z digest=sha256:ecb0e45d57ddd4111d55c0d606cfecd420b21c7f981ca4303512d9f0ccdd2488

Observation f3674d24-b4c8-4f17-a883-d7a25ad293c2 · inbound

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis cites this paper.

AnnoRetrieve: Efficient Structured Retrieval for Unstructured Document Analysis Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T16:53:50.635741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:53:50.635741Z digest=sha256:a369181c0570815cc41fadac6ccd2634c8248a5853788d6b1f291ae45cd2f161

Observation 8cfc9efb-a076-44b1-9515-00df8382985c · inbound

Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing cites this paper.

Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:15:51.373926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T20:02:10.060071Z digest=sha256:9f3bafe5b9b17ef0291e5e19f883663e4708e0d974fdcd2bf7e260cc560a11d1

Observation 4bad6e7c-9d6e-4035-ae71-7ae54cd6a9c9 · inbound

Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying cites this paper.

Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:05.060017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:22:16.951211Z digest=sha256:ad8abde7e4b84b2d536f08294fec86b34007d54f549856b301a4c46cab2f9b3e

Observation b2e0b1cf-5dd1-43d8-9401-2b08f4665bc1 · inbound

Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying cites this paper.

Natural Language to What? A Vision for Intermediate Representations in NL-to-X Querying Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-02T16:27:44.410974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:27:44.410974Z digest=sha256:cc9a6eded08098e7c6d1fb005af19d94c8780910982c2fc564881102dc9b09de

Observation 7c81275e-83e5-40fa-9c38-f9c99b94311e · inbound

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications cites this paper.

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:55:04.322773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T10:50:10.928941Z digest=sha256:2b2ba6ed4aa96b56a1a532a6f98d3782e23800d51079635876538ec8fb71233e

Observation 19162993-8c87-4fdd-9790-31e3b83a5a86 · inbound

Cost-Aware Optimization for Agentic Query Execution cites this paper.

Cost-Aware Optimization for Agentic Query Execution Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-06-28T10:42:00.663372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T08:22:17.427073Z digest=sha256:01fa488f0b1b535d9cf0779e6fd6dbf0fc26f381f29127e739b699467328d692

Observation 01c9fc0b-fb1b-4512-8b13-e4db92572d25 · inbound

MLSkip: Data Skipping for ML Filters via Lightweight Metadata cites this paper.

MLSkip: Data Skipping for ML Filters via Lightweight Metadata Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-06-28T11:02:01.807059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T07:44:30.508874Z digest=sha256:0950fb86029ea87f87373a7bd89ae72137d9defbf56d343b2280d436faff8665

Observation c1250af0-c12b-400a-b4f0-9ee9d7c3e32f · inbound

Larch: Learned Query Optimization for Semantic Predicates cites this paper.

Larch: Learned Query Optimization for Semantic Predicates Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:57:26.178970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T19:21:22.978335Z digest=sha256:5b1504ae1a31613ca29425cd1c36f925941c3ff6245a64445f8e84aec9af68a7

Observation 27c4eae1-eb0d-45cb-8a0d-9298b66a7d04 · inbound

SemCEB: A Cardinality Estimation Benchmark for Semantic Operators cites this paper.

SemCEB: A Cardinality Estimation Benchmark for Semantic Operators Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:39:48.915261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T06:32:31.543923Z digest=sha256:7e1b462ddc9c39be29bc458b94badd9a2dd00bb7e37499e0ccbfa5df8438f71f

Observation a03c8b9a-2d53-4c7e-b5f1-2a1dcfe8920d · inbound

SemJoin: Semantic Join Optimization cites this paper.

SemJoin: Semantic Join Optimization Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:24:12.808230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T01:45:08.705922Z digest=sha256:6c9955b1091c722ce8df274e35584ec2ca44ca1e5b8ecf49771320c75e9a4e60

Observation 71db899d-e74f-47be-af43-25dda6c0e417 · inbound

Large Databases Need Small, Open-Weight Language Models cites this paper.

Large Databases Need Small, Open-Weight Language Models Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-07-01T10:25:42.255607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T05:29:08.391011Z digest=sha256:7b6c2f1b59e0e3632d8c42c3e9bbf5a468727644b605eac7a7010dc1a19e21d3

Observation 0f603b85-126d-4ee6-8da4-ffc25d516fbe · inbound

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows cites this paper.

Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-08T12:54:52.864637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-08T12:54:03.626597Z digest=sha256:4de453eb76cfd65905eec785c2dc6872bb58406c52484fba4fa6d34dfd464445

Observation f73b2381-de74-4604-b99c-97441587d68f · inbound

Confining Nondeterminism: AI-Driven Research Systems as DBMSs for Reliable, Non-Wasteful, Transparent, and Collaborative Research [Vision] cites this paper.

Confining Nondeterminism: AI-Driven Research Systems as DBMSs for Reliable, Non-Wasteful, Transparent, and Collaborative Research [Vision] Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 15

Resolution
malformed identifier
no resolver link, observed 2026-07-14T11:11:41.205646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T11:11:41.205646Z digest=sha256:09e6dfe9edefcb0ddff95680e359662c8aab750dab5648543841b096f60b6cda

Observation 68e149e8-e0d3-45c8-b5ce-bcb1c31973db · inbound

Monte Carlo Tree Search for Table-to-Multimodal Report Generation cites this paper.

Monte Carlo Tree Search for Table-to-Multimodal Report Generation Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-15T14:48:57.652134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:48:57.652134Z digest=sha256:9ac588f49902886fc1a9be5b3c7546dce2ec18d30e99092107c57b8031757e81

Observation 999da4b2-cdc5-4783-acea-91a1a49c87c4 · inbound

Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents cites this paper.

Structure then Query: Enabling Precise Analytical Queries over Unstructured Documents Semantic Operators: A Declarative Model for Rich, AI-based Data Processing

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T12:25:18.094372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:25:18.094372Z digest=sha256:f5941ea41dbe093cd673000cd86ceeac40a1dd589fcc3fd1a7a2d120e7e7a2dc